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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.
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
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)
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”
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”
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”
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”
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”
Consolidate everything learned → Demo → GitHub Submission → Certification Ceremony.
Outcome: Portfolio‑ready AI Agent for career and startup growth.
Logos shown below represent the primary tools and frameworks you’ll use across labs and projects.












Founder & Managing Director — DigiDARA Technologies Pvt Ltd.
Ex-Cognizant | Ex-HCLTech | 28+ Years in IT
He has mentored 1000+ students and professionals , helping them build AI-powered tools, projects, and products that make a measurable impact.
“His mission is to help learners master AI tools, build powerful AI Agents, and lead the next digital revolution.”
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Students, educators, professionals & founders who want to build production‑ready AI agents.
Mon–Fri, 9:00 PM – 10:30 PM IST for 6 weeks.
Basic Python helps; we start from LLM fundamentals with guided labs.
Yes—an ISO‑aligned certificate from DigiDARA Technologies Pvt Ltd.
Chatbot, RAG assistant, portfolio site, multi‑agent system, and MCP interactions.
Yes. Recordings and materials will be shared with the cohort.
OpenAI, Gemini, Perplexity, NotebookLM, LangChain, LangGraph, ChromaDB, Notion AI, n8n, Zapier.
Portfolio & interview prep + referrals (when available).
A deployed AI agent with repo, docs & a demo video you can share.
Email support@digidaratechnologies.com or WhatsApp 9500406945.