Agentic AI
Agentic AI is a 10-week course teaching you to design, orchestrate, and ship autonomous AI agents that reason, plan, call tools, and hold memory across sessions, using frameworks like LangChain, LangGraph, CrewAI, and AutoGen to build supervisor/worker multi-agent systems — for Python developers moving beyond single-prompt apps.
Learn to design, orchestrate, and ship autonomous AI agents that plan, use tools, and collaborate with each other to complete multi-step tasks.
What you'll learn
Course details
Duration
10 weeks
Best for
Python developers who want to move beyond single-prompt apps and build autonomous, multi-agent AI systems
Enrollment isn't open for this course yet — check back soon or contact us.
Course Curriculum
A module-by-module breakdown of what you'll cover in Agentic AI.
01Getting Started & Environment Setup
4 topicsWeeks 1–2
- Getting API access to Claude/OpenAI agent-capable APIs
- Installing LangChain, LangGraph, and LlamaIndex
- Installing CrewAI or AutoGen
- Creating a free vector database account and installing FastAPI/Docker
02Basic
5 topicsWeek 3
- REST/async API clients with typed request and response schemas
- Rate limiting and retry logic
- Idempotency and side-effect safety in tool design
- Transformers, tokens, and context windows
- System/user/assistant roles and structured output
03Intermediate
6 topicsWeeks 4–5
- Few-shot and chain-of-thought prompting
- Designing function/tool schemas
- Model Context Protocol (MCP) for standardized tool access
- Tool selection, routing, and parallel calls
- Structured tool output validation with Pydantic/JSON Schema
- Handling failed or malformed tool calls
04Advanced
5 topicsWeeks 6–7
- Short-term vs. long-term memory design
- Vector stores for semantic recall
- Knowledge graph memory for precise, evolving facts
- Conversation summarization
- Session and state persistence
05Pro
7 topicsWeek 8
- ReAct-style reasoning loops and agent abstractions
- Planning vs. reactive agent design
- Supervisor/worker and peer-to-peer multi-agent architectures
- Task decomposition, agent-to-agent handoffs, and building with LangGraph/CrewAI/AutoGen
- Evaluation harnesses, hallucination and safety guardrails
- Guardrail frameworks and token/cost budgeting for agent runs
- Human-in-the-loop approval gates and containerized deployment
06AI Pro
3 topicsWeeks 9–10
- Using Claude, ChatGPT, and Perplexity to design agent architectures and debug tool-use logic
- Verifying AI-designed agent architectures: testing loops, tool misuse, and runaway behavior
- Project: Use AI to design an agent, then stress-test it for loops and tool misuse
Tools & Technologies
Hands-on practice with the same tools used by working professionals.
Need this built for your business instead?
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Real-Time, Industry-Based Projects
This is project-based learning modeled on real industry scenarios — you'll build portfolio-ready work as you go, not just watch lectures.
Every course includes a guided internship on top of your project work — so you graduate with real experience, not just a certificate.
Communication & Soft Skills
Built into every course, alongside the technical curriculum.
Communication Skills
Practice explaining technical work clearly to teammates, managers, and clients.
Practical AI Skills
Hands-on training in using AI tools well — prompting, everyday workflows, and where AI actually helps versus where it doesn't.
Teamwork & Collaboration
Work in small project teams using real workflows like stand-ups and code reviews.
Problem Solving
Build the habit of breaking down ambiguous problems into clear, solvable steps.
Time Management
Learn to plan, prioritize, and deliver project work against realistic deadlines.
Presentation Skills
Present your project work and results with confidence, as you would to a client.
Resume & Profile Building
Build a strong resume, LinkedIn profile, and project portfolio that recruiters notice.
Interview Preparation
Mock interviews and portfolio reviews to get you ready for real job applications.
Career & Placement Support
100% of students enrolled in Agentic AI get full access to placement support — real tools and guidance, not just a promise. This is support and access, not a guaranteed job outcome.
Resume Builder
A resume auto-built from your real completed projects and certificates, ready to export.
Shareable Portfolio
A public portfolio page showcasing your approved projects, with a link you can share with employers.
Interview Preparation
Guidance on presenting your projects and experience clearly in real interviews.
Peer & Mentor Community
Ongoing access to our learner community for questions, feedback, and support after you finish.
What Your Certificates Look Like
Real, verifiable certificates with your name, Agentic AI, and a QR code anyone can scan to confirm they're genuine — one for completing the course, and a separate one if you take the internship track. Earning a certificate is free. To view, download and share it, there's a one-time ₹100 release fee per certificate — the same for free-course, paid-course and internship certificates.
Course Completion Certificate
Data24ZoneCertificate of Completion
Illustrative recipient
Your Name Here
Example certificate for completion of
Agentic AI
- Certificate No.
- D24-SAMPLE
- Mode
- Self-Paced
- Duration
- 10 weeks
- Example issue date
- On completion
Sample only — not a real, issued certificate.
Verification is available only on issued certificates.
Internship Completion Certificate
Data24ZoneCertificate of Internship
Illustrative recipient
Your Name Here
Example certificate for completion of
Agentic AI
- Certificate No.
- D24-SAMPLE
- Mode
- Internship
- Duration
- 10 weeks
- Example issue date
- On completion
Sample only — not a real, issued certificate.
Verification is available only on issued certificates.
Frequently Asked Questions
What will I learn in the Agentic AI course?
You'll learn: Building agents that reason, plan, and call tools using frameworks like LangChain and LlamaIndex; Giving agents memory and persistent state across sessions; Orchestrating multi-agent systems with supervisor/worker architectures; Evaluating, guarding, and deploying agents safely in production.
What tools and technologies does the Agentic AI course cover?
This course covers: Claude / OpenAI Agent APIs, LangChain & LangGraph, LlamaIndex, CrewAI / AutoGen, LangSmith / Langfuse, Vector databases (Pinecone, Weaviate, pgvector), FastAPI & Docker.
Is the Agentic AI course beginner-friendly?
This is a intermediate-level course, so it assumes some prior familiarity with the subject. It starts with a "Getting Started & Environment Setup" module covering tool installation before the main curriculum.
How long does the Agentic AI course take to complete?
The course is designed to be completed in approximately 10 weeks, depending on your pace.
What enrollment options are available for Agentic AI?
Project Training Track (₹1,499) — One defined learning project and 2 review sessions; no employment or stipend included. Self-Paced (₹1,999) — Learn anytime with the full recorded curriculum and community access.
Is there an internship option for Agentic AI?
Yes — the Internship track means working through real projects with our team and earning a separate Internship Certificate.
Will I get a certificate after completing Agentic AI?
Yes. Self-paced enrollment earns a course completion certificate once your final project is reviewed and approved. Internship enrollment earns an internship certificate once your internship projects are approved. Every certificate is publicly verifiable on our website and can be added directly to your LinkedIn profile. Earning it is free; releasing it to view, download and share is a one-time ₹100 fee per certificate.
What kind of projects will I build in Agentic AI?
You'll work on real projects such as: Research assistant agent — a ReAct-style agent that plans multi-step research and synthesizes cited summaries; Support-ticket triage system — a two-agent pipeline that classifies and drafts responses, escalating edge cases to humans; Agentic codebase Q&A tool — an agent that iteratively rewrites and re-runs retrieval queries over a real codebase; Human-in-the-loop finance agent — an agent that proposes budget changes but requires explicit approval before acting; Deployed & monitored production agent — ship a containerized agent behind an API with tracing and a cost/latency dashboard.
Is placement support included with Agentic AI?
Yes — every enrolled student gets full access to our placement support: resume building, a shareable project portfolio, mock interview preparation, and guidance applying what you've built to real job applications. This is support and access, not a guaranteed job outcome — how quickly it leads to an offer depends on the market and your own effort.
