⚡ 6‑Week Live Evening Masterclass

AI Agent Development Program for Students & Professionals

Learn to Build the Future — Not Just Watch It. The world’s smartest companies are powered by AI Agents — now, it’s your turn to build them.

💡 Master LLMs, Transformers, LangChain, LangGraph, RAG, VectorDB & FastAPI 📍 Live Online · Mon–Fri · 9:00–10:30 PM IST 🎓 ISO‑Aligned Certificate by DigiDARA 🔥 Next Batch: 3 Nov 2025
Enroll Now View Curriculum Chat on WhatsApp
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🚀 Why You Should Join Now

Build the exact skills that top teams ship with—Generative + Agentic AI, production‑grade patterns, and a portfolio that converts.

“We are going to see AI systems that are far more capable and useful than anything today.” — Sam Altman, OpenAI

“Every company will become an AI company.” — Jensen Huang, NVIDIA

“AI is one of the most profound technologies we’re working on.” — Sundar Pichai, Google

  • Master Generative & Agentic AI with step‑by‑step labs
  • Ship production‑ready agents and portfolio projects
  • Get interview‑ready deliverables and demos
92%Extremely Valuable
1000+Students Trained
20+College Partners
6‑WeekEvening Cohort
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🧠 6‑Week Course Curriculum

1️⃣ Foundations: Generative AI & LLM Basics

Goal: Build your base in LLMs, tokens, context & structured outputs.

Topics: LLMs, tokens/params, context windows, prompting (zero/one/few-shot, CoT), temperature/top‑p, OpenAI vs Gemini vs Ollama.

Hands‑on: Prompt assistant • Prompt‑engineering notebook • Try OpenAI + Gemini APIs.

Mini Project: “Ask‑Me‑Anything Bot” (Streamlit + OpenAI)

2️⃣ Retrieval‑Augmented Generation (RAG)

Goal: Enable your model to read + reason with your data.

Topics: Chunking, embeddings, ChromaDB, citations, evaluation.

Hands‑on: Build a PDF Q&A Agent • Create embedding store • Implement retrieval flow.

Mini Project: “AI Research Assistant”

3️⃣ Agentic AI with LangChain

Goal: Enable autonomous tool‑use + planning.

Topics: Agents & tools, tool calling, planner‑executor, function calling, LangSmith debugging.

Hands‑on: Planner‑Executor Agent • Multi‑tool integration (calculator, notes, search).

Mini Project: “Task‑Automator Agent”

4️⃣ LangGraph & Multi‑Agent Systems

Goal: Design collaborative graph‑based agent workflows.

Topics: Nodes & edges, state transitions, event triggers, planner/researcher/writer collaboration.

Hands‑on: 2‑agent collaboration • State memory visualization.

Mini Project: “Collaborative Research Agent”

5️⃣ Memory, Evaluation & Safety

Goal: Add long‑term memory, analytics, guardrails.

Topics: Short/long‑term memory, prompt injection defense, monitoring & scoring.

Hands‑on: JSON + Vector Memory • Self‑evaluation loop • Safety filters.

Mini Project: “Memory‑Aware Study Assistant”

6️⃣ UI Development & Deployment

Goal: Ship your production‑ready AI Agent.

Topics: Streamlit or React UI, FastAPI backend, Local vs Cloud (Render/Spaces/Streamlit Cloud).

Hands‑on: Full app build • Role‑based tabs (Student/Faculty/Admin) • PDF exports & reports.

Mini Project: “End‑to‑End AI Agent App”

🎓 Capstone Project & Graduation

Consolidate everything learned → Demo → GitHub Submission → Certification Ceremony.

Outcome: Portfolio‑ready AI Agent for career and startup growth.

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🧩 What You’ll Build

✔ AI Portfolio Website (hosted online)
✔ LangChain‑powered Student/Faculty Chatbot
✔ RAG‑Based Research Assistant
✔ Multi‑Agent Workflow System
✔ MCP Agent Interaction
All projects are portfolio‑ready — perfect for LinkedIn, GitHub & interviews.
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🧰 Your AI Toolkit

Logos shown below represent the primary tools and frameworks you’ll use across labs and projects.

ChatGPT
ChatGPT
Content • Ideation • Automation
Gemini
Gemini
Multimodal research & analysis
Perplexity
Perplexity
Real-time answers & sources
NotebookLM
NotebookLM
Doc exploration & insights
LangChain
LangChain
Agents • Tools • Orchestration
LG
LangGraph
Graph-based agent flows
LLM
LLM
OpenAI · Gemini · Ollama
C
ChromaDB
Vector store & RAG
Notion AI
Notion AI
Docs • Knowledge capture
n8n
n8n
No-code workflows
Z
Zapier
Automation & integrations
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👨‍🏫 Meet Your Mentor

Senthil Rajamarthandan

Senthil Rajamarthandan

Founder & Managing Director — DigiDARA Technologies Pvt Ltd

  • 28+ Years in IT (Ex‑Cognizant, Ex‑HCLTech)
  • 1000+ students mentored; mission‑driven educator & AI transformation strategist
  • Real‑world AI Agent projects: EduMate, CareerMate, MindMate

“My mission is to help learners master AI tools, build powerful AI Agents, and lead the next digital revolution.”

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🎓 Certification & Enrollment

ISO‑Aligned Certificate

Recognized by colleges, startups, and corporates across India. Add to LinkedIn, GitHub, and your resume.

Course Fee

₹39,999 ₹19,999 — 50% OFF (Early Bird)

Enroll Now View Curriculum Chat on WhatsApp

Support: support@digidaratechnologies.com • WhatsApp: 9500406945

Workshop Preview Videos

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Workshop Intro

Short introduction to the LinkedIn Mastery workshop and outcomes.

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Student Success

Stories from past participants and key takeaways.

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❓ Frequently Asked Questions

Who is this for?

Students, educators, professionals & founders who want to build production‑ready AI agents.

What are the class timings?

Mon–Fri, 9:00 PM – 10:30 PM IST for 6 weeks.

Do I need prior experience?

Basic Python helps; we start from LLM fundamentals with guided labs.

Will I get a certificate?

Yes—an ISO‑aligned certificate from DigiDARA Technologies Pvt Ltd.

What projects will I build?

Chatbot, RAG assistant, portfolio site, multi‑agent system, and MCP interactions.

Are sessions recorded?

Yes. Recordings and materials will be shared with the cohort.

What tools are covered?

OpenAI, Gemini, Perplexity, NotebookLM, LangChain, LangGraph, ChromaDB, Notion AI, n8n, Zapier.

Placement support?

Portfolio & interview prep + referrals (when available).

Capstone outcome?

A deployed AI agent with repo, docs & a demo video you can share.

How do I contact support?

Email support@digidaratechnologies.com or WhatsApp 9500406945.

🔥 Enrollment open — limited seats. Book Your Seat
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