🚀 Master Gen AI, Agentic AI & Inference Engineering

Build AI Bots with Copilot & AWS

Master cloud infrastructure, data science, AI development, and production optimization. No prior coding needed. Learn industry-standard practices with real-world examples.

8

Weeks

$10-20

Total Cost

100%

Hands-On

Four Core Competencies

Gen AI, Agentic AI, Inference Engineering, and Production AWS

Gen AI

LLMs, Embeddings, Inference

Agentic AI

Agents, Reasoning, Tools

Inference Engineering

Optimization, Deployment, Latency

AWS Infrastructure

IaC, Vectors, Production Scale

Why This Course Stands Out

Self-paced with personalized 1:1 support and flexible office hours

1:1 Personalized Support

Get personalized help from instructors. One-on-one guidance tailored to your learning pace and needs.

Office Hours & Live Sessions

Every learner gets dedicated office hours, live Q&A, code reviews, and real-time support from our team.

RAG & Retrieval Systems

Learn how to build AI systems that combine LLMs with real-time data retrieval for accurate, context-aware answers. Essential for modern AI bots and agentic workflows.

AWS Infrastructure as Code

Master cloud automation with Python/CDK. Build, deploy, and manage real AWS resources using industry best practices—no manual clicking, just production-grade code. Launch projects faster and impress employers with hands-on skills.

Job-Ready Portfolio

Ship production systems, earn AWS badges, interview-ready by week 8.

Career Acceleration

Unlock top AI roles with hands-on experience, industry-recognized skills, and personalized career support. Stand out to employers and fast-track your success.

Our Teaching Method Works

Structured according to AI/ML industry best practices. Not a typical bootcamp.

✅ Industry-Backed CurriculumLearn how →

Code Over GUI

Infrastructure as Code from day one. Learn professional practices, not GUI clicking.

Clean Management

No orphan AWS resources. Easy cleanup with code. Control your cloud costs.

Learn Use Cases

Real-world industry problems. Understand why before learning how. Build practical solutions.

Copilot Powered

GitHub Copilot agent mode speeds learning. Focus on logic, not syntax.

Progressive Path

Simple → Complex. Week 1 basics before Week 8 enterprise patterns.

Job Ready

Portfolio-worthy projects from day one. Interview-ready by week 8.

World-Class Curriculum

Master Gen AI, Agentic AI & Inference Engineering through hands-on learning

Core Modules

AWS
Infrastructure & Services
Data Science
Processing & Analytics
AI
Development & Agents
Augmentation & MCP
Optimization & Protocol Integration

Weekly Breakdown

Week 1Week 1

Setup & Copilot Magic

Real Case: Week 1 Course: Intro for Zero Exp—VS Code + Copilot install; no code yet. We help you set up Git, Copilot, AWS account, Python environment, and a developer desktop. You will write IaC code to create and destroy S3, Lambda, and IAM Role with IaC.

Topics:

  • AWS signup, IAM tour via console
  • Free Tier explainer (Copilot: 'Explain AWS costs simply')
  • Developer desktop setup: Git, Copilot, AWS account, Python
  • Hands-on: IaC for S3, Lambda, IAM Role setup
  • + 3 more topics (View all)
Milestone: Copilot setup; run first script
AWSData ScienceAIAugmentation & MCP
Week 2Week 2

Data Staging Basics

Real Case: Real Case: Kaggle tickets as 'Hyd cab support' (e.g., 'app crash')

Topics:

  • Effortlessly upload data to S3 using real code—no manual steps
  • Automate ticket processing: Lambda reads directly from S3
  • Instantly visualize your data flow—see results as you run code
  • Clean messy CSVs in seconds with Copilot-powered scripts
  • + 8 more topics (View all)
Milestone: 100 tickets staged; embedded
AWSData ScienceAIAugmentation & MCP
Week 3Week 3

RAG Pipeline Starter

Real Case: Real Case: Chunk like 'Ola ride issues' from Hugging Face

Topics:

  • OpenSearch create (console wizard)
  • Copilot: 'Ingest to OpenSearch from S3'
  • Hands-on: Run script; check index
  • Chunking easy: Copilot: 'Split ticket text by sentences'
  • + 16 more topics (View all)
Milestone: 300 chunks embedded, deduplicated, and ready for semantic search with Bedrock integration
AWSData ScienceAIAugmentation & MCP
Week 4Week 4

Retrieval & Simple Gen

Real Case: Real Case: DoorDash 'delay fix' adapted to 'Hyd traffic tickets'

Topics:

  • Unlock instant answers: Lightning-fast Lambda search with k-NN queries
  • Gain full visibility: Add CloudWatch logging for every retrieval
  • Experience real-time results: Test async runs and see immediate feedback
  • Boost relevance: Rerank results by keywords for smarter answers
  • + 9 more topics (View all)
Milestone: 3-query test
AWSData ScienceAIAugmentation & MCP
Week 5Week 5

UI & API Intro

Real Case: Real Case: Flipkart 'order query' chat

Topics:

  • Launch powerful APIs: Instantly set up REST endpoints with API Gateway
  • Secure your app: Add authentication in minutes with Cognito
  • Build modern UIs: Create interactive apps with Streamlit
  • Capture feedback effortlessly: Log user actions to CSV with Copilot
  • + 8 more topics (View all)
Milestone: Local UI and API live—query Lambda, evaluate RAG, and deliver instant support
AWSData ScienceAIAugmentation & MCP
Week 6Week 6

Deploy & Interact

Real Case: Real Case: Zomato 'food delay' bot deploy

Topics:

  • Deploy with confidence: Launch your solution using Lambda—pay only when you use it
  • Optimize user experience: Set up throttling for smooth scaling
  • Store and rate instantly: Use DynamoDB for real-time feedback
  • Visualize success: Evaluate results using interactive Streamlit app dashboards
  • + 8 more topics (View all)
Milestone: Production-ready deployment with personalized support, low latency, and validated performance—ready for real users
AWSData ScienceAIAugmentation & MCP
Week 7Week 7

MCP Server & Client Intro

Real Case: Real Case: Set up a sample MCP server and client for cybersecurity alert tickets (Hyd/Anduril use case)

Topics:

  • Get started: MCP Server and Client architecture overview
  • Hands-on: Spin up a sample MCP server for ticket processing
  • Connect your client: MCP Client setup and integration
  • Cache for speed: Add Redis to MCP workflows
  • + 15 more topics (View all)
Milestone: Sample MCP server and client deployed, integrated, and optimized for real-world ticket processing
MCP ServerMCP Client
Week 8Week 8

Capstone & Polish

Real Case: Real Case: Build a mentor query bot for T-Hub startup using agentic AI and MCP RAG agent

Topics:

  • Save costs: Automate cleanup and teardown for efficient resource use
  • Benchmark your solution: Compare baselines with Copilot-powered evals
  • Showcase results: Visualize your portfolio with interactive graphs
  • Scale up: Run 200+ samples for robust testing
  • + 5 more topics (View all)
Milestone: Team-built agentic AI system using MCP and RAG agent, with polished UI, metrics, and T-Hub pitch-ready demo
MCPAI RAG AgentTeamwork

Frequently Asked Questions

Everything you need to know about the course

No! This course is designed for absolute beginners. Copilot handles all the code generation. You focus on understanding concepts and running scripts.

S3, Lambda, OpenSearch, DynamoDB, API Gateway. All within the free tier for the first month.

Approximately $10-20 total. We use free tier services and minimal compute. The course is designed for cost efficiency.

Yes! This is an international course taught in English and also taught in Telugu. We use real-world examples from leading companies (Uber, DoorDash, Stripe, AWS). Available to students worldwide.

3-5 hours per day for 8 weeks. Hands-on labs + concept learning. You can go at your own pace.

Yes! You'll deploy a live RAG-powered chatbot bot by Week 8. Includes GitHub repo, AWS badges, and resume template.

You can learn at your own pace. We offer 1:1 personalized support to help you catch up if needed.

Still have questions?

Email us directly →

XENEX AI LIMITED

© 2025 XENEX AI LIMITED. All rights reserved.