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Build AI Agents on AWS - Zero to Hero Curriculum (10 Projects)
Day 1: This Isn't a Course. It's a Workplace (Introduction to GenAIOps, Agentic AI Solutions & Environment Setup)
Day 2- Your Complete Dev Lab Setup for GenAIOps
Day 3: Project1 - Learn to work with system prompts, embeddings, vectors, and other AI jargon
Day 3 - How AI Actually "Reads" Your Words (Just 7 mins)
DAY 4 - LLM Workflow: full journey from prompt to response, APIs and Introduction to Python
Day 5 — Python Fundamentals, Build the Foundation Before You Build AI
Day 6 — Lists, Tuples & Sets: Python's Building Blocks
DAY 7 - Project 2: Advanced Python Fundamentals & Build a deterministic Guardrail filter to block harmful or off-topic inputs
DAY 8 - Level Up: Map, Filter, Modules & Error Handling and LLM Safety Mechanisms
DAY 9 - Python Programming for AI – OOP, NumPy & Pandas: Now You're Thinking Like a Data Engineer
Day 10 — Clean Data, Real Logs & Your First AWS Deployment
Day 11- Project 3: Build & deploy a live Flask app on AWS EC2 — from local code to a public URL
DAY 12 - Flask Web Development, Git Collaboration and DVC Fundamentals
Day 13: Project 4 - Track & compare real ML experiments with MLflow (Wine Quality case study)
DAY 14 - Docker, Kubernetes and Cloud Infrastructure Essentials(How Modern Apps Actually Run in Production)
Day 15: Project 5 - Containerize your app with Docker and deploy it on a real Kubernetes cluster
Day 16: Project 6 — Deploy a churn-prediction ML model with KServe on Kubernetes
DAY 17: Project 7 — Build a CI/CD pipeline that auto-trains and deploys your model on every push(Kubernetes, KServe and Argo CD)
DAY 18 - One Platform Instead of Five: Amazon SageMaker AI (Introduction to Amazon SageMaker AI and AWS MLOps)
Day 19 — Building a Real ML Team's Ecosystem on SageMaker (Very Very Important Service in Enterprise)
🤖 Day 20 — The Shift Begins: MLOps to GenAI Engineering(LangChain, Tools & Beating Hallucinations)
DAY 21: Project 8 — Build a ReAct agent with memory and human-in-the-loop approval (LangChain and LangGraph)
Day 22: Project 9 — Build a RAG chatbot with PII redaction, for banking/healthcare use cases (Secure AI Agents, RAG Architecture, Enterprise-Ready AI)
Day 23 — Your Agent, Live on Bedrock AgentCore(Most Important - All Enterprise is running agents now in new AWS Service)
🔌 Day 24 — MCP: The USB-C Cable for AI (Agentic Workflows, MCP and Enterprise AI Automation)
Day 25: Project 10 — Ship the capstone: a full end-to-end agentic HR system (Final Class: Projects, Interviews & System Design)
Course Videos (all together which is there above)
Day 1: This Isn't a Course. It's a Workplace (Introduction to GenAIOps, Agentic AI Solutions & Environment Setup)
DAY 2 - Setting Up Git, VS Code, Jupyter and UV Projects
DAY 3 - Building GenAI Applications with AWS Bedrock
DAY 3 cont...
DAY 4 - LLM Workflow: full journey from prompt to response, APIs and Introduction to Python
DAY 5 - Python Basics for AI Engineers
DAY 6 - Mastering Lists, Tuples and Sets in Python
DAY 7 - Advanced Python Fundamentals – Dictionaries and Functions
DAY 8 - Advanced Python Techniques and LLM Safety Mechanisms
DAY 9 - Python Programming for AI – OOP and Data Manipulation
DAY 10 - Building Data Pipelines with Pandas, Git and AWS
DAY 11 - Git Version Control and Flask Deployment on AWS EC2
DAY 12 - Flask Web Development, Git Collaboration and DVC Fundamentals
DAY 13 - Building an MLOps Pipeline with MLflow and AWS
DAY 14 - Docker, Kubernetes and Cloud Infrastructure Essentials
DAY 15 - Docker Containerization and Kubernetes Deployment on AWS
DAY 16 - Deploying Machine Learning Models with Kubernetes and KServe
DAY 17 - End-to-End MLOps Automation with Kubernetes, KServe and Argo CD
DAY 18 - Introduction to Amazon SageMaker AI and AWS MLOps
DAY 19 - Amazon SageMaker for Enterprise MLOps and Model Deployment
DAY 20 - Introduction to LangChain and Generative AI Application Development
DAY 21 - Building Agents That Actually Reason with LangChain and LangGraph
DAY 22 - Secure AI Agents with PII Protection and RAG Architecture: Enterprise-Ready AI
🚀 Day 23 — Your Agent, Live on Bedrock AgentCore
🔌 Day 24 — MCP: The USB-C Cable for AI (Agentic Workflows, MCP and Enterprise AI Automation)
DAY 25 - Prompt Engineering, Agentic Apps and System Design for AI Engineers
Course Interview Questions
GenAIOPS Interview Questions - 1
GenAIOPS Interview Questions - 2