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AI & Machine Learning

AI Engineer Bootcamp

Comprehensive AI engineering program covering GenAI, LLMs, RAG, agents, and production deployment. Master prompt engineering, LangChain, embeddings, fine-tuning, and multi-agent systems.

Duration
16 weeks
Level
Intermediate
Students
720+
Program snapshot

Course Overview

Become a production-ready AI Engineer. This intensive bootcamp takes you from GenAI fundamentals through advanced topics like RAG optimization, multi-agent systems, and fine-tuning. Build real AI applications using LangChain, embeddings, vector databases, and the Model Context Protocol. Learn to evaluate, monitor, and deploy AI systems at scale.

⏱️ 16 weeks
📚 Intermediate
👥 720+ students
🏷️ AI & Machine Learning

What You'll Learn

  • Build production-grade RAG applications from scratch
  • Master prompt engineering and GPT development
  • Implement multi-agent systems with LangGraph and CrewAI
  • Fine-tune LLMs and embedding models for custom use cases
  • Deploy AI applications on AWS with monitoring
  • Evaluate and optimize RAG performance with RAGAS
  • Integrate Model Context Protocol (MCP) into AI workflows
  • Ship an intelligent AI product in Demo Day

Requirements

  • Intermediate Python programming skills
  • Basic understanding of APIs and web development
  • Familiarity with machine learning concepts (helpful but not required)
  • OpenAI/Anthropic API access
  • AWS account (free tier eligible)
  • GitHub account

Course Information

Duration16 weeks
LevelIntermediate
Students Enrolled720+
CategoryAI & Machine Learning
Curriculum

Build your automation stack step by step

Each module combines live-building demos with checkpoints you can immediately ship. Expand a module to see the exact skills you’ll practice.

  • Python environment setup
  • Jupyter notebook basics
  • API keys registration
  • Git and GitHub workflow review