Get a practical overview of AI tools for software teams. Learn when to use chatbots, IDE assistants, and AI agents to improve your development workflow and drive better team results.
Master zero-shot, few-shot, and chain-of-thought prompting. Explore advanced patterns like ReAct to boost output relevance and tackle complex coding problems with LLMs efficiently.
Learn why algorithmic thinking matters when using AI. Study complexity, direct and iterative methods, and practice applying the bisection method to sharpen your AI-assisted problem-solving skills.
Integrate AI into your coding process with Cursor. Explore prompt patterns, debugging support, and context management as you build a working application and streamline everyday coding tasks.
Discover how JetBrains AI can help you generate, refactor, and review code. Refine prompt style and apply the assistant directly to real-world coding, debugging, and optimization tasks.
Design and implement AI agents for automated tasks. Learn agent structure, safe deployment, and best practices so your agents can support CI/CD, bug fixes, and more.
Create a multi-agent system that handles pull requests, refactoring, and documentation. Walk through the entire build process to design, test, and deploy an agent for your team.
Understand collaborative AI ecosystems. Learn about multi-agent design patterns and human-in-the-loop workflows that maximize value and maintain control over AI-driven decisions.
Apply GenAI to DevOps for CI/CD automation, monitoring, and security. Get hands-on practice connecting AI to existing tools and ensuring smooth, error-free deployments.
Integrate AI into your QA process. Automate test case generation, data creation, and validation. Implement AI-driven test tools for faster, more thorough software testing.
Learn about intellectual property, licensing, and confidentiality when using AI in software. Understand policy implications and follow best practices for risk mitigation.
Apply all the tools and concepts to build and deploy a fully AI-powered app. Present a final product that integrates AI into every stage of your software lifecycle.
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