4-Month Generative AI and AI Agent Certification Course
Ship a production RAG, a multi-agent system, an MCP server, and a fine-tuned model. Demo to hiring managers from Walmart Labs, JPMC, Razorpay, Swiggy.



Live Classes
Mentor Connect
Career Support
BAJAJ FINSERVDeloitte
BAJAJ FINSERVDeloitteGenerative AI Learning Roadmap for Working Professionals
Common Foundations
AI Agent & Automation Builder Track
Generative AI Business Track
What You Will Learn in This Generative AI Course
Sessions Tue / Thu / Sat live, plus AI Build Ninja Saturday. Total ≈ 110 live hours.
AI Models, the 2026 Generative AI Stack and Personal AI Stack
WEEK 1Artifact
Personal AI Productivity Stack — 5 reusable Notion templates.
Goal
Map every major model category to a real tool and choose the right model for any task.
Sessions
- Types of AI Models & the Model Family Tree (incl. Sarvam, BharatGen, Krutrim)
- The 2026 Frontier Stack — GPT-5.5, Claude Opus 4.7, Gemini 2.5 Pro, DeepSeek V3
- AI for Everyday Work — 5 templates that automate weekly tasks
Prompt and Context Engineering
WEEK 2Artifact
Employee Onboarding Assistant — 10 adversarial inputs passed, 3 LangSmith iterations.
Goal
Master the art of prompting, system prompts, and context boundaries.
Sessions
- Few-shot learning, Chain of Thought, and React patterns
- System Prompts: Constraining models for enterprise use cases
- Creating complete functional MVPs with Claude Artifacts & Cursor
LLM Internals and Retrieval-Augmented Generation (RAG)
WEEK 3Artifact
Domain Knowledge Chatbot over 20+ docs — deployed to Streamlit, shared with cohort.
Goal
Connect LLMs to internal knowledge databases without hallucination.
Sessions
- Embeddings and semantic search pipelines
- Chunking strategies and vector storage selection
- Building a retrieval pipeline over internal PDFs
Multimodal Fine-Tuning Basics
WEEK 4Artifact
30-sec AI promo video for your domain + Invoice Intelligence pipeline (10 invoices → Sheets).
Goal
Understand visual generation, OCR, and parameter-efficient model customization.
Sessions
- Vision-language models for tables and graphs
- Image generation and video generation tools
- Introduction to model training and fine-tuning concepts
Voice AI Agents and Real-World Phone Applications
WEEK 5Artifact
Doctor Appointment Booking Agent on a real Indian number — books slot, sends SMS confirmation.
Goal
Deploy low-latency voice conversational agents connected to real telephony.
Sessions
- Speech-to-Text and Text-to-Speech integration
- Handling latency, turn-taking, and call dynamics
- Setting up call routing and live database updates on call
Vibe Coding I: Terminal and IDE AI Agents
WEEK 6Artifact
Streamlit dashboard from a CSV — 3 charts + AI insight button — built only via Composer.
Goal
Build complete functional dashboards and apps using AI-assisted pair programmers.
Sessions
- Introduction to Cursor AI and Windsurf Composer
- Creating dashboards and UI components visually
- Connecting code blocks to CSV data sources
Vibe Coding II: No-Code SaaS Launch
WEEK 7Artifact
Live SaaS — login + DB + AI feature + Stripe checkout + PostHog. Public Vercel URL.
Goal
Build and launch a full-featured SaaS application with database, authentication, and billing.
Sessions
- Structuring SaaS features and layouts with no-code tools
- Integrating database logic and user authentication
- Configuring Stripe checkout and soft launching
AI Automations with n8n
WEEK 8Artifact
3 production-running automations — lead enrichment, AI digest, content production.
Goal
Design and orchestrate visual multi-step workflow automations.
Sessions
- n8n Advanced Nodes and Webhooks
- Connecting AI agents with CRM and external tools
- Handling errors and retries in automation workflows
Production LLM Applications
WEEK 9Artifact
15-test DeepEval suite running on every PR. Public LangFuse dashboard for production traces.
Goal
Build robust production LLM pipelines with deep evaluation and monitoring.
Sessions
- DeepEval suite integration and automated testing
- GitHub Actions workflows for LLMs
- LangFuse dashboards and trace inspection
Advanced RAG & Multimodal Apps
WEEK 10Artifact
Dockerised FastAPI on Google Cloud Run · LangFuse + W&B dashboards · cost alert configured.
Goal
Design and host Dockerized multimodal search applications on Cloud Run with performance alerts.
Sessions
- Dockerizing FastAPI services for LLMs
- Deploying and scaling on Google Cloud Run
- Setting up Weights & Biases (W&B) logging and cost alerts
Agent Frameworks — LangChain · CrewAI · OpenAI Agents SDK
WEEK 11Artifact
Same Research Assistant in 2 frameworks — code length /readability /quality comparison. Vercel URL.
Goal
Build, analyze, and compare autonomous agents across major frameworks.
Sessions
- Designing structured research assistants in LangChain
- Role-playing multi-agent systems with CrewAI
- Evaluating code length, readability, and performance across SDKs
LangGraph, MCP & Multi-Agent Systems
WEEK 12Artifact
3-agent Customer Support system + MCP server (3 tools) connected to Claude Code.
Goal
Deploy stateful cyclic multi-agent teams and custom Model Context Protocol servers.
Sessions
- Managing complex loops and states with LangGraph
- Building custom MCP tools in TypeScript/Python
- Connecting local MCP databases to Claude Code and Cursor
Agent Engineering — Evals · Observability · Safety
WEEK 13Artifact
25-test eval suite + red-team report — 20 adversarial prompts, guardrails added, re-tested.
Goal
Implement strict automated evaluations, observability spans, and jailbreak guardrails.
Sessions
- Designing 25+ automated assertion tests for agents
- Red-teaming agents with adversarial prompt attacks
- Adding security boundaries and system constraints
Advanced GenAI Engineering
WEEK 14Artifact
Fine-tuned Gemma 2B / Llama 3.2 3B adapter on Hugging Face Hub · ROUGE-L lift documented.
Goal
Fine-tune open-source models (Llama/Gemma) on domain datasets and evaluate improvements.
Sessions
- Parameter-efficient fine-tuning (QLoRA)
- Publishing custom adapters to Hugging Face Hub
- Evaluating models and documenting ROUGE-L performance improvements
Capstone Sprint + Demo Day
WEEK 15Artifact
Public capstone repo + Loom + LangSmith dashboard. Build Ninja Award + alumni hiring channel access.
Goal
Deploy your capstone agent live to production with telemetry and present to stakeholders.
Sessions
- Deploying production-grade agent endpoints
- Setting up full telemetry and logging
- Presenting to industry panels and hiring partners
Learn Generative AI Through Real-World Projects and Automation
Every Saturday for 15 weeks, a 30-min domain primer from an industry expert (BFSI head, healthcare CIO, retail CTO) then 2 hours of building, 1 hour of demo and voting. Every learner posts a public Loom + GitHub link to cohort Slack.
automation tool
Engine
Studio
voice agent
code review
assistant SaaS
resume pipeline
RBI/SEBI RAG
Lens
multi-agent
MCP server
anomaly ops
BRSR reports
capstone preview
automation tool
Engine
Studio
voice agent
code review
assistant SaaS
resume pipeline
RBI/SEBI RAG
Lens
multi-agent
MCP server
anomaly ops
BRSR reports
capstone preview
Build Real Generative AI and AI Agent Projects
Five session sprint with mentor sign-off. Each capstone has explicit acceptance criteria passing eval suite, deployment URL, public demo.
Knowledge Copilot for Enterprise
Ingests 1000+ internal docs, answers multi-hop questions with citations, exports cleaned-ready markdown.
ACCEPT: RAGAS Faithfulness ≥ 0.85 · 25 DeepEval tests pass
Domain Voice Agent for Healthcare/BFSI
Live phone agent with real Indian number, books appointments, integrates calendar + CRM + EMR, DPDP-compliant.
ACCEPT: 50 real calls · ≥80% task completion
Code Review Multi-Agent System
Security + style + test + summariser agents review every PR in your GitHub repo, post unified review comments.
ACCEPT: 20 real PRs · 5 known vulns caught · <30s
AI Operations Monitor
Polls a dozen sources hourly, detects anomalies, generates daily/weekly digests, runs autonomously for 7 days.
ACCEPT: Anomaly P/R > 0.7 · 7-day uptime
Multi-Modal Field Report Generator
Field worker uploads photos + voice → structured PDF with images, transcribed observations, recommendations.
ACCEPT: 10 real visits processed · RAGAS scored
Fine-Tuned Domain LLM + RAG Hybrid
QLoRA-fine-tune Gemma 2B / Llama 3.2 3B on 1000+ examples, pair with RAG, serve via vLLM.
ACCEPT: ROUGE-L lift > 15% · adapter on HF Hub
Custom MCP Server for an Internal System
Expose your APIs / DBs / file systems as MCP tools. Connect to Claude Code, Cursor, Claude Desktop.
ACCEPT: 5+ tools · 3 client integrations · audit log
Agentic SaaS Product (Production)
Full SaaS with auth, agent backend, Stripe billing, observability, cost governance. Soft launch on ProductHunt.
ACCEPT: 10+ users wk1 · > ₹100/seat mo · evals pass
Ingests 1000+ internal docs, answers multi-hop questions with citations, exports cleaned-ready markdown.
ACCEPT: RAGAS Faithfulness ≥ 0.85 · 25 DeepEval tests pass
Live phone agent with real Indian number, books appointments, integrates calendar + CRM + EMR, DPDP-compliant.
ACCEPT: 50 real calls · ≥80% task completion
Security + style + test + summariser agents review every PR in your GitHub repo, post unified review comments.
ACCEPT: 20 real PRs · 5 known vulns caught · <30s
Polls a dozen sources hourly, detects anomalies, generates daily/weekly digests, runs autonomously for 7 days.
ACCEPT: Anomaly P/R > 0.7 · 7-day uptime
Field worker uploads photos + voice → structured PDF with images, transcribed observations, recommendations.
ACCEPT: 10 real visits processed · RAGAS scored
QLoRA-fine-tune Gemma 2B / Llama 3.2 3B on 1000+ examples, pair with RAG, serve via vLLM.
ACCEPT: ROUGE-L lift > 15% · adapter on HF Hub
Expose your APIs / DBs / file systems as MCP tools. Connect to Claude Code, Cursor, Claude Desktop.
ACCEPT: 5+ tools · 3 client integrations · audit log
Full SaaS with auth, agent backend, Stripe billing, observability, cost governance. Soft launch on ProductHunt.
ACCEPT: 10+ users wk1 · > ₹100/seat mo · evals pass
Career Outcomes: Become an AI Product Manager or Transformation Lead
India salary bands by experience. Path mapped to track + portfolio components.
| Role | Experience | India · LPA |
|---|---|---|
| AI / GenAI Engineer | 0–2 yrs | ₹8–18 |
| AI / GenAI Engineer | 3–6 yrs | ₹40–80 |
| Senior / Staff AI Engineer | 7+ yrs | ₹18–40 |
| AI Solutions Architect (GCC) | 8+ yrs | ₹40–80+ |
| ML Engineer | 3–6 yrs | ₹20–45 |
Demo Day · Industry Panel
- 12+ panelists confirmed across 2 days
- GCC hiring managers
- India's product companies
- 5-min live demo + 3-min Q&A per learner
- Direct referral pathway · alumni hiring channel
Learn from Industry Generative AI Experts
Senior AI engineers and product leaders from Apple, Meesho, and India's top startups. Each cohort gets a 1:8 mentor:learner ratio for capstone reviews.





Generative AI Tools and Platforms You Will Master
Every tool appears in at least one session activity. The full list is reviewed every quarter — your cohort never trains on yesterday's stack.
Foundation Models for Generative AI
AI Agent Frameworks
Voice AI and Generative AI Agents
Vibe Coding with Generative AI
AI Evaluation and Observability
No-Code AI Automation
Generative AI Course Pricing and Certification Details
You don't have to choose at admission — most learners flip between tracks during the first 4 weeks of Common Foundations and lock specialization by Week 8.
EMI from ₹5,416/month · 0% interest · partner finance available
- 16-week live program (Tue · Thu · Sat) both tracks accessible
- 16 AI Build Ninja Saturdays + 16-domain portfolio
- 1:8 mentor ratio · capstone architecture review
- Demo Day with industry panel + alumni hiring channel
- Cohort tooling – LangSmith, ElevenLabs, Vapi credits
- Lifetime access to recordings + content updates
- LangChain Academy free certification
Ship the AI projects and become AI Ninja
Who shouldn't enroll
If you want a tools-tour or a 3-hour ChatGPT class, this isn't it. If you can't commit to 8–10 hours/week including Saturday Build Ninja, wait for a cohort that fits.
Frequently Asked Questions About Generative AI Courses
What is AcceleratorX, and how is it different from other Generative AI courses in India?
+AcceleratorX Generative AI course is focused on real-world applications. Unlike traditional courses, you learn how to build custom system prompts, LangChain integration, AI agent system integration AI workflows, automation systems, and AI-powered solutions using tools like ChatGPT, Claude, CrewAI making you job-ready for real business use cases.
Which is the best Generative AI course in India for working professionals?
+The best Generative AI course is one that focuses on practical skills, real AI projects, and career outcomes. AcceleratorX is designed for working professionals who want to transition into AI-first roles.
Can I learn Generative AI without coding?
+Yes, you can learn Generative AI without coding. This course starts with no-code AI tools, prompt engineering, custom system prompts, and automation workflows, making it beginner-friendly.
What career opportunities are available after completing a Generative AI course?
+AI / GenAI Engineer, Senior AI Engineer, AI Solutions Architect, ML Engineer, AI Product Manager — across GCCs, Indian startups, and traditional enterprises. Salary bands range ₹8L to ₹80L+.
How can I switch my career to Generative AI?
+Our 16-week program is designed for career switchers. Start with Common Foundations, pick your specialization at Week 9, ship 16 portfolio projects, and demo to hiring partners at Demo Day.










