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Online Newly Launched

AI Career Boost Program

Upgrade Your Existing Stack with AI & Agentic Development Skills.

Duration: 12 Weeks (3 Months)
For: Working IT Professionals with 2–3+ Years Experience
Mode: Monday–Friday | Instructor-Led + Hands-On
Core Focus: Generative AI + Agentic AI
Covers: GenAI • LLMs • Prompt Engineering • RAG • Agentic AI • LangGraph • MCP • AI-Assisted Development • AI Code Review • AI Workflows • Production Deployment
Applied to Your Existing Stack
  • Java
  • MERN
  • QA
  • Database
  • DevOps
  • Support
  • C/C++
  • NET & More
12Weeks
AI-Native Learning Program
80%
Hands-on Learning
12Months
Ongoing Placement Support
5Phases
Structured Program Journey
AI Career Boost Program
Why Join This Program?
  • Turn Your Existing IT Experience into AI-Powered Expertise.
  • Learn GenAI & Agentic AI Skills Built for Real Industry Use
  • Build with AI from Day 1 — Not Just Watch Tutorials.
  • Create Real AI Features on a Live Project, Not Toy Projects.
  • Master RAG, MCP, LangGraph, LLMs & AI Workflows.
  • Learn to Audit AI Output — Catch AI Mistakes Before They Reach Production.
  • Deploy Your AI Solution to the Cloud and Make It Production-Ready.
  • Apply AI Directly to Your Existing Stack — Java, MERN, QA, DB, DevOps & More.
  • Build a Defensible AI Portfolio You Can Explain in Interviews.
  • Upgrade Your Current Role Toward Higher-Value AI-Augmented Opportunities.
📘 What You'll Experience

What You'll Experience

Build real AI-powered applications, develop production-ready AI agents, and apply Generative AI and Agentic AI to your existing technology stack through a live project from Day 1.

GenAI & AI-Assisted Development
  • Master LLMs, Generative AI & Prompt Engineering
  • Use AI for coding, development, debugging & code review
  • Work with Claude, GitHub Copilot & Cursor
  • Learn structured prompting & context management
  • Build AI-powered features using your existing tech stack
Agentic AI, RAG & MCP
  • Build real AI agents and agentic workflows
  • Learn LangGraph for stateful agent orchestration
  • Build RAG applications with embeddings & vector search
  • Integrate real tools using Model Context Protocol (MCP)
  • Develop agent memory, tool calling & multi-step workflows
Live Project, Cloud & Production
  • Start building on a live project from Day 1
  • Continuously add AI features throughout the program
  • Dockerize and deploy your AI application
  • Build CI/CD pipelines using GitHub Actions
  • Deploy AI-integrated applications to AWS
  • Learn monitoring and production-readiness practices
AI Engineering & Career Readiness
  • Learn to audit AI-generated code and agent output
  • Identify hallucinations, stale context and silent AI failures
  • Build a professional GitHub portfolio with real AI work
  • Reposition your Resume & LinkedIn for AI-augmented roles
  • Defend your AI project in technical mock interviews
  • Receive a written performance evaluation & completion certificate
PROGRAM BENEFITS

What You Take Away

Build practical AI and agentic engineering skills, gain production experience, strengthen your professional profile, and become ready for AI-augmented technology roles.

Production Ready AI Skills
Build and ship an AI-integrated feature on your existing technology stack and deploy it live on AWS.
Agentic AI & MCP Experience
Gain hands-on experience with agent frameworks, MCP, prompt engineering, RAG, and AI-assisted development.
Real GitHub Portfolio
Build a portfolio of real, reviewed AI-feature code from a live project—not tutorials or toy projects.
Certification & Evaluation
Receive a program completion certificate, written performance evaluation, and ongoing placement support.
🏅 CAREER SUPPORT

100% Placement Support

GitHub Portfolio Review
Review and strengthen your portfolio with real, documented AI-feature project work.

Download Syllabus

AI Career Boost Program — Full curriculum & roadmap

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