AI courses
Master AI with 7 hands-on courses built by working backend engineers. Learn by building real projects, earn a shareable certificate, and level up at your own pace.
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Recommended for AI beginners
Curated by working backend engineers to get you building fast.
Browse AI courses and tracks
Building Reliable AI Workflows Beyond Chatbots
Learn how to build production-grade AI workflows that don't break. Covers the 3 critical failure modes and the engineering patterns to prevent them.
AI Engineering
A production-focused AI engineering course for backend developers covering AI foundations, prompt engineering, RAG pipelines, AI agents, agentic RAG, AI system architecture, and prototype-to-production practices including evaluation, cost optimization, and deployment patterns.
AntiGravity for Backend Engineers
Learn how to integrate AI-powered development workflows into backend engineering using AntiGravity. This course covers AI-driven system building, prompt engineering for backend contexts, live build walkthroughs, code review practices, and how to evaluate AI agents as part of a production-grade engineering workflow.
Design Patterns in Java
You will learn the significance of design patterns and how to apply key Creational, Structural, and Behavioral patterns to create robust, maintainable, and scalable software solutions.
Ship 30 Python Projects in 30 Days
Gain practical experience by building 30 real-world Python backend projects in 30 days.
Advanced Java
The Advanced Java course is designed to enhance your understanding of Java by exploring more complex topics, including collections, I/O streams, build tools, and multithreading. You’ll learn how to use these advanced features to write optimized, maintainable, and scalable Java applications.
Related resources on AI
Ready to apply your AI skills?
Build real-world projects and add them to your portfolio.
Build a Real-time AI Chat Application
Build a real-time AI chat application in Go that streams LLM responses token by token from a locally running Ollama instance, using Server-Sent Events (SSE) on the backend and a clean fetch() + ReadableStream frontend.
DocuChat: AI-Powered Document Q&A System
Build a production-grade AI-powered document Q&A system where users upload documents, ask questions, and get answers with citations — powered by RAG (Retrieval-Augmented Generation), vector search, and OpenAI.
“I truly appreciate the high-quality material in this course. The structured lessons, hands-on projects, and clear explanations make learning a great experience. I look forward to future additions and updates! Thanks for your polite and friendly attitude.”
Lyle Christine
A Happy Student from Scotland
“The practical examples and hands-on exercises were particularly beneficial. They not only reinforced the theoretical concepts but also allowed me to apply them in real-world scenarios. The inclusion of best practices and common pitfalls added a practical dimension to the learning process.”
Daniel Tinivella
Software Engineer, Globant
“The course is an excellent resource for beginners. Your explanations of the basics are clear, making it easy for newcomers to grasp. I particularly enjoyed the task management application; it's a practical example that helps solidify the concepts.”
Eshan Shafeeq
Blockchain & Web3 Engineer, Cake Defi
FAQs
You'll go from fundamentals to production-ready AI skills through short lessons and hands-on projects you build yourself.
Most tracks start at a basic level. Pick a Basic course to begin, or jump to Intermediate/Advanced if you already know the fundamentals.
Yes — complete a course and you'll earn a certificate you can add to LinkedIn, your resume, and your performance reviews.
Each course lists its duration in hours. Learn at your own pace — start free and upgrade any time.