AI Engineer Pro

Master GPT, Claude, Gemini, Llama, LangChain, RAG & Fine-Tuning to build and ship real-world AI applications.
What you'll learn
Build production-grade AI apps using GPT-5, Claude 4.5, and Gemini 3 with real API integrations from day one.
Master prompt engineering including structured outputs, chain-of-thought, multi-model routing, and prompt injection defense.
Design complete RAG pipelines with hybrid retrieval, re-ranking, self-correction, and RAGAS-based evaluation.
Build stateful, memory-aware apps with LangChain 1.0, including chains, tool integration, and LangSmith debugging.
Work across the Hugging Face ecosystem including Transformers, model quantization, Spaces deployment, and benchmarking.
Requirements
Intermediate Python skills required - comfort with functions, classes, file I/O, and virtual environments
Basic familiarity with REST APIs, JSON, Git, and the command line.
Accounts on OpenAI, Anthropic, and Google AI Studio needed.
Description
There are two types of people in tech right now - those whouse AI, and those whobuild with it. Millions open ChatGPT daily, type a prompt, and move on. But a much smaller, much more valuable group picks up a frontier model, wires it into a real application, and ships something thousands of people use. That second group is the one getting hired, starting companies, and shaping where this industry goes next.
This course is your path into that group.
AI Engineer Pro is a comprehensive, project-driven program designed to take you from wherever you are today to confidently buildingproduction-grade AI applications - the kind you can put on a resume, walk through in an interview, and actually ship to real users.
Here's what you'll master
LLM APIs - GPT, Claude, Gemini, and open-source powerhouses like Llama, Qwen, and DeepSeek
Prompt Engineering & Context Engineering - at a depth most developers never reach
LangChain - the go-to framework for serious LLM application development
Hugging Face & the Open-Source Ecosystem - access thousands of models and pipelines
RAG (Retrieval Augmented Generation) - the single most important pattern in production AI today
Fine-Tuning - train and customize your own models for specific use cases
Multimodal AI - work across vision, audio, and video
Production Stack - deployment, safety, guardrails, and everything it takes to ship responsibly
Throughout the course, you won't just watch - you'llbuild project after project, each one adding something real and tangible to your portfolio. The course culminates in afull-stack capstone application that genuinely belongs in a senior engineer's portfolio.
This isn't a course that promises to change your life. It's a course that gives you theright material, the right projects, and the right depth - so that by the time you finish, you are a fundamentally different engineer than the one who started.
If you're ready to stop consuming AI and startcreating with it - Module 1 is waiting.
Who this course is for
Aspiring AI Engineers who want to build real-world Generative AI applications
Software Developers looking to integrate AI into their existing skill set
Python Developers who want hands-on experience with modern AI tools and frameworks
Anyone interested in learning tools like LangChain, Hugging Face, OpenAI APIs, Vector Databases, and AI Agents
Creators and Entrepreneurs who want to build AI-powered products and workflows
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