Ready to work smarter, faster, and more effectively as a developer? Welcome to “AI for Developers: Mastering AI in Your Daily Workflow.”

Artificial Intelligence is transforming the way software is written. From inline code suggestions to intelligent code reviews, AI tools are rapidly becoming part of the modern developer’s toolkit. But using AI effectively requires more than just installing a plugin. It requires understanding how AI works, where it excels, where it fails, and how to apply it responsibly and professionally.

This course is designed to give you exactly that foundation.

Highlights:

Build a solid understanding of how modern AI systems and Large Language Models (LLMs) actually work. Learn about tokens, context windows, hallucinations, and why AI behaves the way it does.

Discover the strengths and limitations of AI in software development. Understand when AI can dramatically accelerate your workflow and when it can introduce subtle and dangerous mistakes.

Master practical prompting techniques tailored specifically for developers. Learn how to ask better questions, provide effective constraints, and iteratively refine AI output.

Explore AI as a pair programmer. Use tools such as GitHub Copilot, Cursor, JetBrains AI, and chat-based assistants to generate code, refactor existing logic, write tests, and debug more efficiently.

Learn how to use AI for learning and skill growth. Break down unfamiliar frameworks, explore new APIs, and accelerate your understanding of complex topics.

Develop a professional mindset when working with AI-generated code. Learn how to evaluate, validate, and test AI output like an engineer.

Understand the security, privacy, and ethical implications of using AI tools in professional environments. Protect your code, your company, and your reputation.

Compare different AI tools and models so you can make informed decisions about which tools best fit your workflow and environment.

This course is designed for developers who already have solid programming experience and want to integrate AI into their daily work in a responsible and effective way. It is not about building AI systems from scratch. Instead, it focuses on understanding AI and using it to enhance your productivity, decision-making, and code quality.

AI is not here to replace developers. It is here to amplify strong developers. By the end of this course, you will not only understand how AI works, but you will know how to use it deliberately and professionally.

Let’s explore how to become an AI-augmented developer.

What You Will Need

Before enrolling, it is essential that you meet the following prerequisites:

• Solid Programming Experience
  You should have practical experience in at least one programming language such as Java, C#, Python, JavaScript, or similar. This course assumes you are comfortable writing, debugging, and maintaining code.
• Professional Development Experience
  You should be familiar with concepts such as version control, testing, refactoring, and basic software design principles.
• An IDE
  You should have an IDE installed (such as IntelliJ IDEA, VS Code, Eclipse, or similar). Some exercises may involve using AI plugins like GitHub Copilot, JetBrains AI, or Cursor.
• Git Knowledge
  You should be comfortable performing basic Git operations such as cloning repositories, committing changes, and pushing to a remote repository.
• Access to AI Tools
  You will need access to at least one AI development assistant (for example GitHub Copilot, Cursor, JetBrains AI, or a chat-based AI such as ChatGPT or Claude).