Agentic AI Developer Certification

"This bootcamp completely changed how I approach engineering. The RAG deep dive — document chunking, embedding models, retrieval strategies — was exactly what I needed. I shipped a working AI assistant for my team within 2 weeks of finishing the course."

Priya Sharma

AI Engineer @ Infosys

"Used LangGraph state machines directly in a production automation pipeline. The conditional edges and memory management from W3 Sunday saved us weeks of architecture debate. ROI was visible within the first month."

Vikram Joshi

Tech Lead @ Wipro

"As a PM, I always struggled to bridge the gap with my AI engineering team. After the W2 module on agent architecture — Planning, Memory, Tools, Action — I now speak the same language as my engineers. That alone made this worth every rupee."

Ankita Gulati

Senior Product Manager @ Flipkart

"The ReAct prompting pattern + tool-calling framework from W2 reduced our automation backlog by about 40%. I implemented it directly in a client-facing feature. The weekend-only schedule meant zero disruption to my regular work."

Rahul Hirani

Backend Developer @ Razorpay

"I was a fresh CS graduate with zero practical AI experience. The hands-on Ollama + Python lab from Day 1 gave me instant confidence. I landed my first AI role just 3 weeks after completing the bootcamp — the portfolio projects were my entire interview pitch."

Soumya Reddy

Jr. AI Developer @ Groww

"The multi-agent orchestration weekend was mind-blowing. CrewAI role-based agents + LangGraph for sequential and hierarchical workflows — I have already deployed a research automation pipeline that replaced 3 manual analyst tasks."

Abhishek Jha

Data Scientist @ HDFC Bank

"The progression from LangChain to LangGraph across W2 and W3 is perfectly paced. I went from asking "what even is an agent?" on Saturday morning to building a multi-step reasoning pipeline with error handling by Sunday evening. Incredible structure."

Shivani Mehta

Full-Stack Developer @ Accenture

"W4 gave my team a repeatable production playbook. FastAPI + Docker + LangSmith monitoring on AWS — we now have full observability on all our AI workflows. The cost optimization section on model routing and caching alone saved us significant cloud spend."

Akshat Khandelwal

Engineering Manager @ TCS

"Every single topic had a working lab — not just slides. By W3 I had a Multi-Agent Business Intelligence System running locally. This is how AI education should be done. No fluff, no theory-only sessions."

Nayana Jabisetti

ML Engineer @ Myntra

"The Agentic AI vs GenAI paradigm shift explained in W1 reframed how I architect solutions for clients. The local dev setup with Ollama and DeepSeek-R1 has already cut our prototyping costs significantly compared to using OpenAI APIs throughout."

Gautam Verma

Solutions Architect @ Infosys

"I come from a non-STEM background. The way embeddings and vector databases were explained — with real comparisons between ChromaDB, Pinecone, and FAISS — I never felt lost once. The EMI option also made the investment very accessible. I now lead AI product specs at my company."

Swati Jain

Business Analyst @ Paytm

"Applied the Document Q&A Bot project directly to a client compliance use case. The chunking strategies and retrieval tuning sections were exceptionally detailed. My manager asked how I shipped it so fast — this bootcamp is how."

Nikhil Maheshwari

Senior Developer @ Cognizant

"The vector database module gave me more clarity than 3 months of YouTube tutorials combined. The trade-off comparison between different embedding strategies and retrieval approaches was especially valuable for my day-to-day work."

Athira Krishnan

Data Analyst @ Deloitte

"Coming from DevOps, W4 was tailor-made for me. Containerising agents with Docker, deploying via FastAPI, and monitoring with LangSmith on GCP — the cloud deployment module covered everything I was looking for. Highly recommend to any infra engineer moving into AI."

Rohit Verma

DevOps Engineer @ Wipro

"The human-in-the-loop patterns from W2 Sunday were something I did not know I needed until I saw them. We have since built review gates into our AI-powered patient triage flow. This is the kind of practical depth that separates this from any MOOC."

Gunjan Singh

Product Lead @ HealthTech Startup

"I was a QA lead worried about being replaced by AI. This bootcamp helped me become the person who builds and governs the AI instead. The AutoGen guardrails and output validation section was directly applicable to our test automation platform."

Shubham Agrawal

AI Automation Engineer @ Hexaware

"Weekend-only format is a lifesaver for working professionals. I did not take a single leave day and still walked out with 4 production-grade projects in my portfolio. The capstone presentation and peer feedback session were genuinely rigorous."

Preeti Sharma

Tech Lead @ HCL Technologies

"The blend of strategic AI governance content and deep technical execution is genuinely rare. I now have frameworks for board-level AI conversations AND I can code alongside my team. Sent three of my team leads to the next cohort."

Ajay Kumar

Director of AI @ Bajaj Finserv

"The Customer Support Agent and Document Q&A Bot I built during the bootcamp were the centrepiece of my final interview. The interviewer asked me to walk through the RAG architecture live — I did it without notes. This course builds real confidence."

Shaloni Tiwari

Jr. Software Engineer @ Freshworks

"LangGraph state machines, conditional edges, and cyclic workflows — this is where most courses cut corners. Here we spent an entire Sunday deep-diving into it with working examples. No shortcuts. The W3 SUN session alone justified the entire fee for me."

Devang Sharma

AI Researcher @ Bangalore AI Startup