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AI Skills for the Modern Workforce

Hands-on, project-based courses taught by Sristi's AI engineers — built for developers and technical teams.

Featured Course

Mastering Agentic AI

Build production-ready autonomous AI agents

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Duration
8 Weeks
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Level
Intermediate – Advanced
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Mode
Live Online
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Batch Size
Max 20 Students
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Sessions
Weekend (Sat & Sun)
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Certificate
Yes, on completion

About this Course

Agentic AI is the most transformative shift in software development since the cloud. AI agents can plan, reason, use tools, and autonomously accomplish complex tasks — and the engineers who can build them are in massive demand.

This intensive 8-week program takes you from LLM fundamentals to deploying a fully autonomous AI agent in production. You'll work on real projects every week, guided by Sristi's AI engineering team who have shipped agentic systems at enterprise scale.

What You'll Learn

🤖Build autonomous AI agents from scratch
🔧Integrate agents with real APIs & tools
🧠Implement memory & RAG pipelines
🚀Deploy production-grade AI agents
🔬Design multi-agent orchestration systems
📊Evaluate & monitor agent performance
AM
Your Instructor

Dr. Arjun Mehta

CEO & Co-Founder, Sristi Technologies

Former faculty at IISc Bangalore with 15+ years in AI/ML research and 30+ publications. Has built and deployed agentic systems for enterprises across fintech, manufacturing, and healthcare.

Start with a Free Demo Session

Attend a live 90-minute demo class — no commitment, no payment required.

8-Week Curriculum

01

LLM Foundations & Prompt Engineering

Understand how large language models work, token prediction, context windows, and writing effective prompts for reliable outputs.

02

Agent Architectures & Reasoning Loops

Build your first AI agent using ReAct and Chain-of-Thought patterns. Implement planning, observation, and action loops.

03

Tool Use & Function Calling

Give agents the ability to call APIs, search the web, run code, and interact with external services using OpenAI and LangChain.

04

Memory Systems for Agents

Implement short-term, long-term, and episodic memory. Use vector databases (Pinecone, ChromaDB) for agent knowledge.

05

RAG — Retrieval-Augmented Generation

Build agents that query your own documents, knowledge bases, and structured data using retrieval pipelines.

06

Multi-Agent Systems & Orchestration

Design systems where multiple agents collaborate — supervisor agents, worker agents, and inter-agent communication.

07

Evaluation, Safety & Guardrails

Measure agent performance, prevent prompt injection, add content filters, and ensure reliable production behaviour.

08

Capstone Project & Deployment

Build and deploy a real-world agentic AI application end-to-end, with monitoring, logging, and scaling strategies.

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Ready to Master Agentic AI?

Join the next batch and build the skills that define the next decade of software.