Udemy
    •  
    •  
    •  
    •  
    •  
    •  
    •  
    •  
Turn what you know into an opportunity and reach millions around the world.
Learn More
Your cart is empty.
Keep shopping
AI Engineer Pro - The Complete Generative AI Course
Rating: 5.0 out of 5(19 ratings)
142 students

AI Engineer Pro - The Complete Generative AI Course

Master GPT, Claude, Gemini, Hugging Face, LangChain, RAG & Fine-Tuning to build real-world AI applications.
Created byBiswajit | Expanding Horizons
Last updated 7/2026
English

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.

Course content

12 sections • 33 lectures • 10h 55m total length

  • Welcome to the Course14:34
  • What Are LLMs, Actually?19:13
  • The 2026 LLM Landscape14:12

    Survey the 2026 LLM landscape, weighing GPT-5.5, Claude Opus, Gemini, and open-source Lama 4 variants, then adopt a practical model-routing mindset for production apps.

  • Tokens, Context Windows, Temperature & Top-p15:09
  • Setting Up Your AI Dev Environment42:30
  • Your First LLM API Call21:05

    Set up your environment and make your first llm api call using OpenAI's chat completion API with the nano model, grasp the system, user, and assistant roles and streaming.

  • Calling Claude & Gemini16:25

    Explore how OpenAI, Anthropic Cloud, and Google Gemini differ in system prompts and response formats, then implement a single OpenAI compatible pattern to query all three providers.

  • Open-Source Models13:31

    Explore open source models you can own and run locally, from Grok, OpenRouter, and Together AI, and learn to access them via the OpenAI-compatible API, enabling multi-model inference.

  • Project BrainDump27:09

    Turn a messy braindump into clean, structured notes using a three-model pipeline (OpenAI, Cloud, Gemini), guided by role assignment, chain-of-thought, and few-shot prompting, with a detailed system prompt.

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 who use AI, and those who build 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 building production-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'll build project after project, each one adding something real and tangible to your portfolio. The course culminates in a full-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 the right 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 start creating 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

Report abuse