The benefits of online programming courses are manifold. They can be more cost-effective than traditional in-person classes and often include up-to-date content that keeps pace with the rapidly evolving tech industry. Moreover, learning from home eliminates the need for commuting, offering a comfortable learning environment that can be tailored to each individual’s preferences. With the right course, students can gain a deep understanding of programming languages, development tools, and real-world problem-solving skills—all of which are critical for a successful career in technology.

Criteria for Choosing the Best Programming Courses

When embarking on the journey to find the best online programming course, several key factors should be taken into account to ensure that the chosen course meets your learning goals and expectations. Here are the criteria to consider:

• Curriculum Quality: The course should cover fundamental concepts as well as advanced topics, with a structured syllabus that progresses logically. Look for courses that update their content regularly to keep up with industry changes.
• Instructor Expertise: Instructors should not only have a strong theoretical understanding but also practical experience in the field. The best courses are often taught by professionals who have a track record of success in programming.
• Student Reviews: Feedback from past students can provide valuable insights into the course’s effectiveness and the experience it offers. High ratings and positive testimonials are indicators of a course’s quality.
• Interactive Learning: Courses that include hands-on projects, coding exercises, and collaboration with peers can enhance the learning experience and help solidify understanding.
• Flexibility: A self-paced course with accessible resources allows learners to study according to their own schedule without compromising on the depth of learning.
• Support and Resources: Look for courses that offer comprehensive support, such as tutor assistance, forums, and additional learning materials to help overcome any hurdles during the course.
• Certification and Outcomes: A course that provides a certificate upon completion can be beneficial for your professional profile. Moreover, consider the course’s track record in helping students achieve their career goals.
• Cost-Effectiveness: While the cheapest option may not always be the best, the course you choose should offer good value for money, taking into consideration the depth and breadth of the content provided.

By carefully evaluating these factors, you can select an online programming course that not only teaches you how to code but also prepares you for the challenges of the tech industry.

Top Programming Languages to Learn in 2024

As the tech industry continues to evolve, certain programming languages have emerged as critical for those looking to stay ahead in the field. In 2024, the following languages are considered essential for aspiring coders:

• Python: Renowned for its simplicity and versatility, Python remains a staple for beginners and experts alike. Its applications range from web development to artificial intelligence and data analysis.
• JavaScript: As the backbone of web development, JavaScript is indispensable for creating interactive web pages. Its frameworks, such as React and Node.js, are highly sought after by employers.
• Java: Java’s portability and widespread use in enterprise environments make it a perennially valuable language to learn, particularly for Android app development.
• Swift: For those interested in developing iOS applications, Swift is the go-to language, known for its performance and safety features.
• Kotlin: Kotlin has become increasingly popular for Android development due to its concise syntax and interoperability with Java.
• Rust: Gaining traction for its memory safety and performance, Rust is a language that’s particularly useful for systems programming.

Each of these languages opens doors to various sectors in technology, and mastering them can significantly boost your employability and versatility as a programmer.

Best Courses for Beginners

For those just starting their coding journey, the right course can make all the difference. Here are some of the top-rated online programming courses suitable for beginners in 2024:

1. Codecademy’s “Programming for Beginners”: This interactive course is ideal for those with no prior experience. It offers a hands-on approach to learning with instant feedback on coding exercises.
2. Coursera’s “Python for Everybody”: Focusing on Python, this course provides a comprehensive introduction to programming and data analysis, with a certificate from the University of Michigan upon completion.
3. Udemy’s “The Complete JavaScript Course”: This course covers JavaScript from scratch, including ES6 and modern JavaScript frameworks, with projects to build a solid foundation.
4. edX’s “CS50’s Introduction to Computer Science”: Offered by Harvard University, this course dives into the intellectual enterprises of computer science and the art of programming, using a variety of languages including C, Python, and SQL.
5. Treehouse’s “Beginning iOS Development”: For those interested in mobile app development, this course teaches the basics of iOS development with Swift, including building and testing iPhone apps.

Each course is designed to be accessible, with a focus on foundational skills that will serve as a springboard into more advanced topics and projects. They are also structured to cater to self-paced learning, providing flexibility for students with different schedules and learning speeds. By starting with these beginner-friendly courses, you can build a robust foundation in programming and set yourself up for success in the tech industry.

Advanced Courses for Experienced Coders

For developers ready to elevate their coding expertise, the online landscape in 2024 offers a suite of advanced courses. These programs are engineered to challenge seasoned programmers and deepen their knowledge in complex areas of computer science.

• MIT’s “Advanced Data Structures”: This course delves into the intricacies of data structures which are crucial for high-performance algorithms and applications. It covers topics like dynamic data structures, hash tables, and memory management.
• Stanford University’s “Machine Learning”: A comprehensive course that explores the theory and practical applications of machine learning, including deep learning, reinforcement learning, and natural language processing.
• Pluralsight’s “Advanced JavaScript”: This course takes JavaScript developers to the next level, covering advanced concepts such as closures, prototypes, and asynchronous programming.
• Udacity’s “Senior Web Developer Nanodegree”: A project-based learning path designed for web developers aiming to master the skills required to build robust and scalable web applications.

Each of these courses requires a solid understanding of basic programming concepts and offers a rigorous curriculum that includes real-world projects, peer collaboration, and expert mentorship. By completing these advanced courses, programmers can unlock new career opportunities and stay competitive in the ever-evolving tech landscape.

Specialized Programming Courses

Specialization can set a programmer apart in the job market. In 2024, niche areas such as game development, data science, and mobile app development are in high demand, and specialized online courses cater to these interests.

• Unity’s “Certified 3D Artist”: A course for game developers focusing on 3D modeling, animation, and Unity’s game development engine, leading to an industry-recognized certification.
• DataCamp’s “Data Scientist with Python”: This track is tailored for data science enthusiasts, offering a deep dive into data manipulation, visualization, and machine learning using Python.
• Google’s “Associate Android Developer Certification”: A course for mobile developers that covers the essentials of Android development, including UI design, database integration, and Google Play services.
• Coursera’s “IBM Applied AI Professional Certificate”: For those interested in AI, this course provides hands-on experience with AI applications, including chatbots and AI-powered virtual assistants.

These specialized courses are designed to provide in-depth knowledge and hands-on experience in specific domains, often culminating in a certification that can enhance a programmer’s portfolio. With the tech industry’s rapid growth, these focused skill sets are highly valued and can lead to exciting career advancements.

The Role of Interactive Learning in Coding Education

Interactive learning has revolutionized the way we approach coding education. Engaging platforms and hands-on projects are not just supplementary; they are central to effectively grasping programming concepts. Here’s how interactive learning enhances the coding journey:

• Immediate Application: Interactive courses encourage students to apply concepts in real-time, reinforcing learning through practice.
• Feedback Loops: Platforms that offer instant feedback help learners quickly identify and correct mistakes, which is crucial for mastering a programming language.
• Engagement: Gamified experiences and interactive challenges keep learners engaged, making the learning process enjoyable and less daunting.
• Retention: Active participation in coding exercises and projects has been shown to improve retention of programming knowledge compared to passive learning methods.
• Community Interaction: Many interactive courses provide forums and chat groups where learners can collaborate, share solutions, and support each other, simulating a real-world programming environment.

By incorporating interactive elements, online programming courses can simulate the dynamic and collaborative nature of the tech industry, preparing students for the practical aspects of coding careers.

Understanding Course Accreditation and Certification

When selecting an online programming course, understanding accreditation and certification is vital. Accreditation ensures that the course meets certain standards of quality and rigor, as determined by an external body. Here’s why accreditation and certification matter:

• Validity: Accredited courses are recognized for their quality and comprehensiveness, providing assurance that the education you receive is up to industry standards.
• Employer Recognition: Certifications from accredited courses are often valued by employers as evidence of a candidate’s skills and commitment to professional development.
• Transferable Credits: If you plan to pursue further education, accredited courses might offer transferable credits, which can be beneficial for academic progression.
• Professional Development: Certifications can be a stepping stone for career advancement, demonstrating to employers your dedication to staying current with industry trends and technologies.

Ultimately, certifications from accredited courses can serve as a testament to your expertise and may open doors to new job opportunities or promotions within the tech industry.

Balancing Cost and Quality in Online Education

When it comes to selecting an online programming course, the balance between cost and quality is crucial. High-quality education doesn’t always have to come with a hefty price tag, but it’s important to recognize that investing in a reputable course can lead to better learning outcomes and long-term career benefits. Here are key considerations to ensure you get the best value:

• Assess Course Content: Ensure that the course offers comprehensive coverage of relevant topics and includes current industry practices.
• Compare Long-Term Value: Consider the potential return on investment, such as career advancement, salary increase, and skill enhancement.
• Check for Free Trials or Scholarships: Some platforms offer free trial periods or financial aid, which can help mitigate costs while evaluating the course quality.
• Research Instructor Credentials: A knowledgeable instructor with industry experience can make a significant difference in the depth of learning.
• Look for Post-Course Support: Courses that offer ongoing resources or alumni networks can provide long-term value beyond the initial learning phase.

By carefully evaluating these aspects, you can make an informed decision that balances cost without compromising the quality of your education.

Community and Mentorship in Online Learning

The role of community and mentorship in online programming courses is pivotal for a fulfilling learning experience. A supportive network can provide the guidance, motivation, and resources needed to thrive in your coding journey. Here’s how community and mentorship enhance online learning:

• Community Forums: Platforms that offer active discussion boards enable learners to ask questions, share insights, and learn from peers facing similar challenges.
• Mentorship Programs: Access to experienced mentors can provide personalized feedback, career advice, and technical support, helping students navigate complex topics.
• Networking Opportunities: Online courses with a strong community can facilitate connections with industry professionals, opening doors to job opportunities and collaborations.
• Study Groups: Joining or forming study groups can foster a collaborative environment where students can work through problems together and hold each other accountable.
• Real-World Projects: Courses that incorporate team projects can simulate a real-world work environment, teaching valuable collaboration and communication skills.

Engaging with the course community and taking advantage of mentorship opportunities can significantly enrich the learning experience and contribute to a more comprehensive understanding of programming concepts.

Time Management Tips for Studying at Home

When learning to code from home, effective time management is essential to stay on track and maintain motivation. Here are some practical tips to help you manage your time wisely:

• Set Clear Goals: Define what you want to achieve with your coding course and break it down into smaller, manageable tasks with deadlines.
• Create a Study Schedule: Establish a consistent daily routine with designated study times to build a habit and avoid procrastination.
• Prioritize Tasks: Tackle more challenging topics when you’re most alert and save easier tasks for when your energy dips.
• Use Time Blocks: Allocate specific time periods for focused study sessions, followed by short breaks to recharge.
• Eliminate Distractions: Identify and minimize interruptions in your study environment, such as turning off notifications on your devices.
• Track Your Progress: Regularly review what you’ve learned and adjust your schedule as needed to cover any gaps in understanding.
• Stay Organized: Keep your study materials and digital files well-organized for easy access and to save time.

By implementing these strategies, you can create a productive learning environment that maximizes your study time and keeps you motivated throughout your coding journey.

Success Stories: From Online Learning to Career Advancement

Many individuals have transformed their careers and lives through online programming courses. Here are a few inspiring success stories:

• Anna’s Transition to Tech: Anna, a former teacher with no technical background, enrolled in an online Python course. Within a year, she developed a portfolio of projects, earned her certification, and landed a job as a junior data analyst.
• David’s Startup Launch: After completing an online full-stack development course, David built an e-commerce platform as his capstone project. His platform caught the attention of investors, and he now runs his own successful tech startup.
• Lily’s Promotion: Lily was working in IT support when she decided to upskill by taking an online JavaScript course. Her new programming skills led to a promotion as a front-end developer, significantly boosting her career trajectory.
• Mark’s Freelance Success: Mark, an aspiring game developer, took several specialized courses in game design and Unity. He now works as a freelance game developer, creating indie games and contributing to larger projects.

These stories highlight the transformative power of online programming courses, demonstrating that with dedication and the right resources, a career in coding is within reach for anyone, regardless of their starting point.

Future Trends in Online Programming Education

The world of online programming education is rapidly evolving, with new trends shaping the learning experience for students worldwide. As we look to the future, several key developments are poised to revolutionize how we learn to code from home:

• Virtual Reality (VR) and Augmented Reality (AR): Immersive technologies like VR and AR are beginning to make their way into online programming courses, providing an interactive environment that simulates real-life coding scenarios and projects.
• Artificial Intelligence (AI) and Personalization: AI-driven platforms are offering personalized learning experiences by adapting to individual learning styles and pacing, which can significantly improve student engagement and outcomes.
• Project-Based Learning and Real-World Applications: Online courses are increasingly emphasizing hands-on projects that reflect real-world challenges, helping students build a portfolio that showcases their skills to potential employers.
• Collaborative Coding Environments: Cloud-based development environments and collaboration tools are enabling learners to code in teams, mirroring the collaborative nature of modern software development.

These trends indicate a shift towards a more interactive, personalized, and practical approach to online programming education, ensuring that students not only learn theoretical concepts but also acquire the skills necessary to thrive in a dynamic tech landscape.

Taking the First Step Towards a Coding Career

In conclusion, the best online programming courses of 2024 offer a diverse array of learning opportunities that cater to different skill levels, interests, and career aspirations. By understanding emerging trends in online education, such as VR, AI-driven personalization, and project-based learning, students can choose courses that will prepare them for the future of tech.

To embark on a coding career, it’s essential to select a course that aligns with your goals and provides a comprehensive curriculum, expert instruction, and interactive learning experiences. Whether you’re a beginner looking to lay a solid foundation or an experienced coder aiming to specialize or advance your skills, there is a course out there for you.

Take action today by enrolling in an online programming course that resonates with your aspirations. With dedication, practice, and the wealth of resources available at your fingertips, you can transform your passion for coding into a rewarding career. Embrace the journey, and join the ranks of successful coders who have leveraged online education to achieve their dreams.

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Navigating the Mosaic of Blockchain Diversity

Blockchain networks can be compared to intricate jigsaw pieces in the grand tapestry of decentralized technology. Each piece, whether it’s Bitcoin, Ethereum, Binance Smart Chain, or one of the numerous other networks, boasts its own unique set of regulations, consensus mechanisms, and smart contract capabilities. While this diversity underscores blockchain’s versatility, it simultaneously presents a formidable puzzle: how can these disparate pieces be woven into a cohesive and interconnected whole?

Building Bridges Across the Blockchain Abyss

Multichain bridges emerge as the ingenious solution to this intricate puzzle. These bridges function as metaphysical connectors, streamlining the flow of assets, data, and functionality across a multitude of blockchain networks. They act as universal interpreters, transcending the linguistic disparities that exist between these blockchain ecosystems, facilitating effortless communication and cooperation.

The Inner Workings of Multichain Bridges

At the core of Multichain bridges lie smart contracts, the self-executing agreements that underpin many blockchain networks. These smart contracts play a pivotal role in the operation of bridges, ensuring the security and precision of asset transfers and data exchanges.

Visualize a bridge as a complex tapestry, with each strand symbolizing a distinct function or action. These strands, represented by smart contracts, collaborate to execute a diverse array of tasks, encompassing asset swaps, cross-chain data queries, and consensus synchronization. Oracles, external data providers, play an integral part in this orchestration by supplying real-world data to the bridge, guaranteeing that decisions are founded on the most up-to-date and accurate information.

Unlocking the Multifaceted Benefits of Interoperability

The integration of multichain bridges development into the blockchain landscape yields a myriad of advantages that extend far beyond mere connectivity:

• Boosted Liquidity: Bridges facilitate the seamless movement of assets between various blockchain networks, amplifying liquidity and accessibility for users.
• Synergistic Cross-Chain DApps: Developers can now craft DApps that harness the combined power of multiple blockchains, providing users with innovative and unified experiences.
• Risk Mitigation: Bridges incorporate risk management strategies, such as multi-signature approval, to safeguard assets during transfers.
• Amplified Scalability: Interoperability fosters scalability, as blockchain networks collaborate in processing transactions and executing smart contracts, thus mitigating congestion.
• Optimized Transaction Costs: Users can optimize transaction expenses by selecting the most cost-effective network for their specific transaction requirements.
• Fueling DeFi Ecosystem Growth: Bridges enable assets to traverse freely between diverse DeFi protocols and platforms, kindling innovation and expansion within the DeFi sector.

Navigating Challenges and Strengthening Security

While the potential of Multichain bridges is vast, challenges loom on the horizon. Security remains paramount, as the integrity of a bridge hinges upon its weakest link. Vulnerabilities in smart contracts or oracles can result in catastrophic losses. Furthermore, robust governance models are indispensable for overseeing bridge operations and dispute resolution, nurturing trust within the blockchain community.

The Future of Multichain Bridges: Emerging Frontiers

As the blockchain ecosystem matures, Multichain bridges will assume an increasingly central role in interconnecting distinct networks. They will lead the way to a future where blockchain seamlessly integrates with a myriad of industries, including finance, supply chain, healthcare, and beyond. The intricate blockchain puzzle is destined to evolve into a masterpiece of interconnectedness, unlocking fresh possibilities and efficiencies for businesses and individuals alike.

In conclusion, Multichain bridges represent a groundbreaking stride towards realizing the full potential of blockchain technology. They serve as conduits of interoperability, bridging gaps and nurturing collaboration across the diverse and ever-expanding blockchain landscape. As we voyage deeper into the realm of decentralized technology, these bridges shall stand as the threads that weave the fabric of a truly interconnected blockchain cosmos. With their ongoing evolution and adoption, Multichain bridges will continue to lead the charge in innovation, promising a future where blockchain transcends boundaries, reshaping industries, and empowering individuals on a global scale.

Emerging Trends in Multichain Bridges: Pioneering Progress

Looking ahead, it’s imperative to delve into emerging trends in the realm of Multichain bridges, as they shape the future of blockchain interoperability:

• Cross-Chain NFT Propagation: With non-fungible tokens (NFTs) gaining prominence, Multichain bridges are facilitating the fluid transfer of NFTs between diverse blockchain ecosystems. This empowers artists and collectors to tap into broader audiences and markets for their digital creations.
• Blockchain Agnosticism: Some Multichain bridge solutions are aiming for blockchain agnosticism, liberating them from dependence on any single blockchain network. This approach enhances flexibility for users and developers, reducing reliance on a specific blockchain.
• Interoperable Identity Solutions: Multichain bridges are being leveraged to create interoperable identity solutions, holding immense potential for enhancing user privacy and data security. Individuals can manage their identities across multiple blockchain networks without exposing personal information.
• Cross-Chain Delegated Staking: Multichain bridges enable users to stake their assets on one blockchain while benefiting from rewards or participating in decentralized finance (DeFi) applications on another. This promotes efficient asset allocation and enhances the overall DeFi experience.
• Enterprise Integration: As more enterprises explore blockchain solutions, Multichain bridges are becoming indispensable components of their strategies. These bridges enable seamless interoperability between private and public blockchains, allowing businesses to harness the benefits of both.

Incorporating these trends, Multichain bridges are continually evolving to meet the growing demands and expectations of the blockchain community. Their adaptability and capacity to integrate emerging technologies will be pivotal in shaping the future of blockchain interoperability. As they continue to mature and innovate, Multichain bridges will further bridge the gap between different blockchain networks, enabling a more interconnected and efficient blockchain ecosystem that transcends traditional boundaries.

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AI, an all-encompassing term, encapsulates an array of technologies, such as machine learning, natural language processing, neural networks, and more. These cutting-edge tools are resuscitating the landscape of software testing, rendering it more effective and efficient than ever before. Let’s delve into the multifaceted ways AI is catalyzing this paradigm shift, while also introducing fresh insights into this dynamic partnership.

1. Cognitive Test Scenario Generation: AI-powered tools possess the capability to autonomously fabricate test scenarios based on application specifications and requirements. These test scenarios are not only exhaustive but also adaptive, evolving in tandem with changes in the software. By mirroring human cognitive processes, AI discerns latent vulnerabilities, delves into edge cases, and assembles a comprehensive test suite, leaving no stones unturned.

2. Proactive Bug Detection: Traditional bug detection methods often rely on post-development testing, incurring significant time and cost. AI is revolutionizing this aspect by preemptively identifying potential defects even before code execution. Machine learning models scrutinize the codebase, unearth patterns, and pinpoint areas prone to defects. This proactive approach dramatically reduces debugging efforts and augments software quality.

3. Dynamic Test Environment Orchestration: Managing test environments can be a logistical challenge. AI-driven solutions dynamically generate, configure, and oversee test environments to faithfully replicate the production setting. This not only saves time but also fortifies the reliability of test outcomes.

4. Autonomous Test Execution: AI-powered test automation frameworks autonomously execute test scripts, analyze results, and flag defects. These frameworks exhibit self-learning capabilities, adept at adapting to software modifications, rendering them indispensable in agile and continually evolving development environments.

5. Advanced Natural Language Requirement Analysis: Parsing and validating intricate software requirements can be a laborious task. AI-powered natural language processing algorithms excel in parsing natural language requirements, identifying ambiguities, and proffering improvement suggestions, thereby ensuring a robust foundation for the development process.

6. User-Centric Behavior-Driven Testing with AI: AI contributes to behavior-driven development by generating test scenarios based on user stories. By comprehending the context and objectives of each feature, AI-driven tools craft test cases closely aligned with end-user expectations, elevating product quality and enhancing user satisfaction.

7. Performance Testing Fine-Tuning: Performance testing, particularly for large-scale systems, can be resource-intensive. AI optimizes performance testing by predicting peak loads, identifying bottlenecks, and proposing configuration adjustments for optimal system performance, thereby enhancing user experience.

8. Artificial Test Data Generation: Crafting realistic and diversified test data is often a challenge. AI excels in generating synthetic test data that closely mirrors real-world scenarios, ensuring comprehensive and realistic testing.

9. Seamless Integration of Continuous Testing with DevOps: AI plays a pivotal role in the seamless incorporation of testing into the DevOps pipeline. Continuous testing, empowered by AI, enables swift feedback and early defect identification, nurturing a culture of quality throughout development.

10. Sentiment Analysis for User Feedback and Improvement: Beyond functional testing, AI scrutinizes user feedback, reviews, and sentiment to identify areas for enhancement. This user-centric approach ensures software evolution aligns with user expectations, driving customer satisfaction.

11. Automated Test Maintenance: As software evolves, test scripts require updates. AI streamlines test maintenance by detecting codebase changes and adapting test scripts accordingly, ensuring test relevancy throughout the software’s lifecycle.

12. Intelligent Test Case Prioritization: Not all test cases are created equal. AI evaluates the impact of different test cases on software functionality and prioritizes them accordingly, guaranteeing critical aspects receive thorough testing, even in resource-constrained scenarios.

13. Enhanced Security Testing and Vulnerability Assessment: AI-driven security testing tools identify vulnerabilities, detect potential security threats, and provide recommendations to bolster application security. This is imperative in an environment where cybersecurity threats are in a perpetual state of flux.

14. Insightful Test Reporting and Visualization: AI generates comprehensive test reports enriched with illuminating visualizations, aiding stakeholders in comprehending testing results and making well-informed decisions.

In conclusion, the convergence of AI and software testing is fundamentally reshaping the quality assurance landscape. AI’s capacity to augment human capabilities, automate repetitive tasks, and unearth concealed defects heralds a new epoch in software development. As AI technologies continue to advance, we anticipate even more innovative applications in the realm of software testing, cementing its role as an indispensable ally in the pursuit of efficient, effective, and immaculate software. Embracing AI in software testing is no longer merely a strategic option but an imperative for staying competitive in the dynamic world of software development. The future of software testing promises an even brighter, more dependable, and efficient era, where AI blazes a trail towards excellence and innovation in software development and quality assurance.

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COURSE PROGRAM

Python for beginners
Python Starter
The Python Starter course (Python for Beginners) is designed for those who have not been programming at all or have basic knowledge that they want to organize and deepen. During ten logically interconnected lessons, students will learn the basics of algorithmization and programming by studying the basic constructs, data types, the ability to create user functions using the example of Python.

Introduction to Python
Variables and data types in Python (int, float, str, list, tuple)
Conditional constructs (if-else)
Cyclic constructs in Python (while, for)
Sequences
Lists
Sets and mappings
Functions (part 1)
Functions (part 2)
PEP8 specification

Git basics
Initial
The distributed version control system Git has long been a leader among similar project management tools. Today its use in team development has become a kind of standard.

Python Basic
Basic
Python is one of the most popular object-oriented programming languages used in web development, machine learning, big data analysis, as well as for creating applications, games and system administration.

Python Advanced
Advanced
The course “Python Advanced” will be useful for everyone who has basic knowledge of Python and wants to bring it to an advanced level. During the course, you will learn about the elements of functional programming, networking (TCP/UDP/HTTP) and data formats such as JSON/CSV/XML, as well as master working with SQLite. The course will give you an understanding of multithreaded and asynchronous programming. In addition, part of the course is devoted to the study of typed Python and unit testing, which are necessary to maintain a high quality code base for the development of commercial solutions. The last lesson is devoted to practice, where each student will be able to use the acquired knowledge in creating a final project. Classes are taught by certified teachers with commercial experience as a developer, who are able to explain the material well, accompanying it with clear examples.

Django
Advanced
Django is a high-level framework for the Python language that allows you to quickly build and maintain websites. Django can be used to create almost any website, from a simple one-page website to various social networks. Django course consists of 9 interconnected lessons. After completing this course, the student will be able to write web applications in Python using the Django framework.

Course project in the specialty Python Developer

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The course “C# Starter” is designed for beginners in programming, as well as novice developers and programmers who want to learn the basics of programming in the shortest possible time, but have not decided on a specific programming language.

The course examines the procedural approach to programming, studies the basic syntactic constructs of the C # language. The course forms a basic understanding of the mechanisms of high-level programming languages.

In the process of studying, you will understand why C # is an accessible and easy to learn language, find out what role it plays in program development and what capabilities it has, learn how to use its advantages in your own projects.

COURSE PROGRAM

Introduction to .Net infrastructure
The purpose of this lesson is to get acquainted with the nature of the .NET platform and the development areas used in building .NET applications. The course provides an overview of programming languages and .Net infrastructure technology. The class covers simple examples: Console, Windows Forms-, WPF-applications.

Machine mathematics. Variables and data types
The lesson covers the basic number systems. The lesson helps to learn to understand the binary and hexadecimal number systems. The concept of variables and data types is explained. The principles of choosing the type that should be used when creating a variable are explained.

Variables and data types
The purpose of constants is explained, basic arithmetic operations and operations of comparison of variable values are considered. Examples of simple formatting and displaying strings on the screen are demonstrated

Conditional constructions
The lesson considers the work of branching operators, their purpose, the use of basic conditional statements: if-else, ternary operator and switch-case.

Logical and bitwise operations
This lesson is devoted to the consideration of such concepts as logical and bitwise operations. The lesson explains the application and use of conjunction, disjunction, exclusive “or”, logical operators, shift operators. Short-circuited calculations and De Morgan’s theorem are considered.

Cyclic constructions
The lesson considers the work of cyclic operators (while, do-while, for) and unconditional jump operators. Application of break and continue operators. The work of Dextra loops and the use of the “Spider” loop is explained.

Methods
The lesson helps to learn to understand the work of methods, explains the difference between a procedure and a function.
Examples of using ref and out parameters are considered, as well as the concept of method overloading.

Methods. Recursion
The lesson considers the concept and operation of recursion, its application. Examples of using methods with optional parameters are demonstrated.

Arrays
The lesson considers examples of creating and using arrays (one-dimensional, two-dimensional, three-dimensional, toothed). The principles of getting and adding data to arrays are explained

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COURSE PROGRAM

Lesson 1. Introduction to SQL

• Basic concepts of databases.
• Objects of relational database.
• Familiarization with Management Studio.
• T-SQL data types.

Lesson 2. T-SQL Queries.

• What is SQL, T-SQL.
• What is DML.
• Basic queries of the DML language: SELECT, INSERT, UPDATE, DELETE.
• Further development of Management Studio tools.

Lesson 3. The basics of DDL.

• What is DDL.
• Basic queries of DDL language: CREATE, ALTER, DROP.
• The concept of user constraints, primary and foreign key.

Lesson 4. Designing databases.

• Database design, normalization.
• Mastering visual database design tools.

Lesson 5. JOIN-s.

• Consideration of types of unions.
• Consideration of nested joins.
• Consideration of external unions.
• Consideration of joins.

Lesson 6. Nested queries.

• Nested queries and linked nested queries.
• Working with cursor

Presentation. Saved procedures. User functions.

• Conditional constructs, loops, error message processing.
• Stored procedures.
• Functions.
• Representation.

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COURSE PROGRAMME

Lesson 1: Introduction to the Universal Windows Platform. The life cycle of an application
The lesson covers the introduction to the Universal Windows Platform (UWP), the initial settings for working with UWP, the difference between build versions, and the creation of our first application. We will learn the background of creating the application life cycle, and explore the behavior of the application from activation to shutdown.

Lesson 2: Layout Containers
In Lesson 2, we’ll look at the concept of layout, and learn about the existing containers for the layout process. You will also become familiar with the inheritance tree and the class from which all containers are inherited.

Lesson 3: Controls (Part 1)
In Lesson 3, you’ll learn about the controls in the UWP platform. In this video, you’ll explore topics such as Buttons, Text Fields, Switches, and Working with the Calendar, Date, and Time.

Lesson 4: Controls (Part 2)
In Lesson 4, you will recall the controls you learned in Lesson 3 and learn new ones. You will become familiar with these groups of elements: “Working with Images,” “Working with Lists,” and “Special Controls.”

Lesson 5: Binding. Resources. Styles and templates. Navigating .
This lesson covers the concept of binding, the difference between the {Binding} and {x:Bing} components. You implement the INotifyPropertyChanged interface. You’ll look at the concept and purpose of resources in UWP applications, the properties and purpose of styles and templates, and you’ll be able to create navigation in your application.

Lesson 6: Commands. MVVM pattern.
The lesson covers the answers to the questions “How and why use MVVM?” and continues the topic of binding and the interface INotifyPropertyChanged. Introduction to the concept of commands and the ICommand interface.

Lesson 7: Data handling and file system
This lesson looks at the concept of creating data templates when using the binding tool in general-purpose applications. Also we get acquainted with the DataTemplate and ObservableCollection, learn the innovations of the file system in UWP applications, learn the special folders and file dialogs.

Lesson 8: Working with multimedia and graphics
This lesson looks at controls for working with multimedia and some of the aspects that have appeared in universal applications. You will become familiar with elements that allow you to draw shapes, lines, text and images and add various effects to all this.

Lesson 9: Background Tasks
This lesson looks at the concept and purpose of background tasks, exploring different types of tasks, and creating them.

Lesson 10: SQLite and Entity Framework
The lesson deals with working with databases using the SQLite and Entity Framework libraries.

Lesson 11: Adaptive Design
The lesson extensively covers the concept of adaptive design in UWP applications, fine details and a description of each way to implement such design in the application.

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During the course you will gain practical skills by doing homework and working with a trainer, and by developing a graduation project you will gain invaluable practical experience and create the first project for your portfolio.

COURSE PROGRAM

1. Java for beginners
   Beginner
   If you have only a general idea about programming and you have never been professionally engaged in it, then we recommend you to start your training from the very basics.

Introduction to Java infrastructure
Machine mathematics. Data types
Variables and data types
Conditional constructions
Logical constructions
Cyclic constructions

2. Git basics
   Initial
   The distributed version control system Git has long been a leader among similar project management tools. Today, its use in team development has become a kind of standard.
3. Basic Java course
   Basic
   Programming training begins with the study of the basic concepts and principles of object-oriented programming, classes, as well as features of the JAVA language, and ending with the consideration of the basic concepts of such a paradigm as Java Generics.
4. MySQL Essential
   Basic
   SQL is a structured query language used to create, modify and manage data in relational databases. MySQL Essential course consists of 8 lessons, allowing beginners to master all the basic concepts of programming with MySQL Server. This course also covers MySQL Server optimization, development tips, administration tasks that will be useful for experienced developers. In the classroom students are provided with all the lecture material and examples of lessons that will be considered in the learning process. Lessons consist of a theoretical part that allows to explain the semantic content of practical tasks, after which practical examples based on the theory are considered. The second half of the lesson consists of performing practical tasks by students, the lesson ends with the results and control questions on the lesson. Pupils are given homework.
5. JDBC & Hibernate
   Basic
   Hibernate platform is the most popular object-relational mapping framework for Java environment. The Hibernate library provides tools for object-relational mapping (ORM). The course is dedicated to the study of JPA technology and its use on the example of Hibernate implementation.
6. Web-services
   In-depth
   A web service (or web service) is a web-address-identified software system with standardized interfaces.
7. Spring basics
   Basic
   During this course we will look at the basic Spring modules, learn how to configure the framework and use different types of annotations. We will get acquainted with different ways of writing REST applications, using MVC models.

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During the course, you will gain practical skills by doing homework and working with a trainer, and by developing a graduation project – you will gain invaluable practical experience and create the first project for your portfolio.

COURSE PROGRAM

1. HTML5, CSS3 for beginners
   Beginner
   The HTML5&CSS3 Beginner course consists of 10 logically interconnected lessons where students apply practical theoretical knowledge of HTML5&CSS3 technologies to create simple web page elements.
2. JavaScript Starter
   Beginner

Introduction to JavaScript. Variables and data types
Strings and operators
Logical structures
Arrays and loops
Functions
Objects
Practice

3. Git basics
   Initial
   The distributed version control system Git has long been a leader among similar project management tools. Today, its use in team development has become a kind of standard.
4. JavaScript Basic
   Basic

Search for elements and DOM tree
Changing the DOM tree. CSS styles
Events. Part 1
Events. Part 2
Events. Part 3
Constructor functions
Classes
Classes. Inheritance
Context of the function
Closing
Forms and controls
Validation of form data
Cookies and Web Storage
Exception handling
Asynchronous code. Promise
Network requests
Practical lesson
Practical lesson

5. HTML5 and CSS3 Advanced
   Advanced
   HTML5 is already implemented in a large number of browsers and soon we will witness an unprecedented increase in performance, interactivity and scalability of web applications.
6. React Essential
   Advanced.
   In this course, students will write a small application using React, learn how to break it into logical parts and components, practice writing styles with CSS Modules, and get acquainted with the basic concepts of writing an application using this platform. React is a very popular JavaScript framework used in building user interfaces of web applications.
7. TypeScript Fundamentals
   Basic
   TypeScript is a programming language for developing web applications, which is a superset of JavaScript and has stricter rules and typing. Many modern frameworks use TypeScript. If you are going to learn Angular or another similar tool, then this course is for you. In this course you will learn everything you need to start using this programming language.
8. Angular
   Basic
   Angular is a popular JavaScript framework used to create Single Page Applications with a single interface. As a result, the developer gets an efficient web application with code that is easy to read and maintain.

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COURSE PROGRAM

1. Introduction to HTML. Types of elements and attributes
   At the beginning of the course we will consider what HTML is, what it is for and how its elements are written. You will learn about tags, formatting in HTML, about the editor in which the initial markup code is written, with which any web page is built and what comments in the code are used for. How to add images to the page, as well as various link transitions.
2. Introduction to CSS and block sizing
   The lesson will cover the ways to connect styles to the page, the types of selectors that can be used to bind styles to the specified elements of the page. And by what principles the priority of entries in CSS is determined. In this lesson, the student will consider the basic behavior of elements to form their size.
3. Working with indents, margin property, working with text and visibility of elements
   The student will get acquainted with the mechanics of external indentation of elements. You will learn what indentation is and in what cases it exists. We will review implicit indents when working with inline-block elements. Get acquainted with the various CSS rules for styling text and how the inheritance of styles of children elements works.
4. Layout using Flexbox
   The purpose of the lesson is to understand the basic principles of the Flexbox module and learn how to use them. The ability to set a flexible distance between blocks and how their sizes are determined in some cases.
5. Combining selectors and working with background, background property
   Combining is a very important part of writing code, which is considered in the structure of lists and tables, since large nesting must be created and parsed constantly during the project. The possibility of accessing elements from pseudo-classes and the work of priority in such structures.
6. Semantic layout
   The student learns about the new semantic tags that have appeared with HTML version 5 and the rules for their use. The structures of simple sites with the use of semantic tags are considered.
7. Forms
   The purpose of this lesson is to get acquainted with forms and their purpose. Consideration of form elements, their capabilities and nuances of working with both functionality and styling.
8. Positioning of elements
   The purpose of this lesson is to get acquainted with the formatting of page elements, the task of positioning through the position property. Pseudo elements and the ability to implement simple animation for elements will also be considered.
9. Practice
   The purpose of this lesson is to consolidate the theoretical material.
10. Practice
    The purpose of this lesson is to consolidate knowledge in practice by laying out the layout.

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