Agentic AI
Design autonomous AI agents and multi-agent workflows with LangChain, LangGraph, CrewAI and AutoGen.
What your team will learn
Autonomous Agents
Build AI agents that can reason, plan, and execute multi-step tasks without continuous human intervention.
Multi-Agent Coordination
Master frameworks like LangGraph and CrewAI to coordinate teams of specialized AI agents working together.
Tool & API Usage
Teach AI agents to interact with external environments, call APIs, search the web, and execute code dynamically.
Context & Memory Systems
Implement Vector databases (Pinecone, ChromaDB) to give AI agents long-term memory and contextual awareness.
Workflow Automation
Design complex, intelligent workflows for enterprise environments that automate repetitive cognitive tasks.
Advanced LLM Integrations
Leverage the reasoning capabilities of state-of-the-art models like OpenAI, Claude, and Llama in agentic patterns.
Program curriculum
18 modules. Modules and depth can be customised for your team.
01Artificial Intelligence Fundamentals
- AI Basics
- Generative AI Fundamentals
- AI Industry Landscape
02Python for AI Engineering
- Python Fundamentals
- Advanced Python
- Python for AI Automation
03Large Language Models
- LLM Fundamentals
- Popular LLMs
- LLM Usage
04Prompt Engineering
- Prompt Design
- Advanced Prompting
- AI Optimization
05AI Agents Fundamentals
- What are AI Agents
- Agent Architecture
- Agent Lifecycle
06LangChain Framework
- LangChain Fundamentals
- LangChain Components
- AI Workflows
07LangGraph for Agentic Workflows
- LangGraph Fundamentals
- Multi-Step Agent Coordination
08CrewAI Framework
- CrewAI Fundamentals
- Planner Agents
- Enterprise Automation
09Microsoft AutoGen
- AutoGen Basics
- Group Chat Agents
- AI Problem Solving
10Memory Systems & Context Management
- AI Memory
- Pinecone/ChromaDB/FAISS
- Context Management
11Retrieval-Augmented Generation
- RAG Fundamentals
- Vector Search
- Enterprise RAG Systems
12Tool Calling & Function Calling
- AI Tool Integration
- Email APIs
- Autonomous Tool Usage
13AI Workflow Automation
- AI Automation Systems
- Enterprise Use Cases
14Full Stack AI Agent Development
- Frontend Development
- Backend APIs
- AI Integration
15AI Deployment & MLOps
- AI Deployment
- AWS AI Services
- MLOps
16AI Security & Governance
- AI Security
- Responsible AI
17Real-Time Agentic AI Projects
- Major Projects
18AI Tools Covered
- LLM Platforms
- AI Frameworks
- Vector Databases
- Deployment Tools
Tools & technologies covered
Who should attend
Frequently asked questions
What are Agentic AI systems and how are they different from traditional AI?
While traditional Generative AI answers prompts in isolation, Agentic AI systems act as autonomous agents. They can reason, plan multi-step workflows, make decisions, use external tools (like APIs or web browsers), and collaborate with other AI agents to solve complex, open-ended problems without constant human intervention.
Do I need to know Generative AI before learning Agentic AI?
This program is comprehensive. We start with the core fundamentals of Python and basic Large Language Models before advancing into complex multi-agent orchestration frameworks like CrewAI and LangGraph. Beginners are welcome, though basic programming logic helps accelerate the learning path.
What real-world projects will I build?
You will build autonomous workflows and multi-agent systems, such as an automated research assistant that scrapes and summarizes web data, an AI developer team that writes and tests code collaboratively, and a customer support agent with memory and database access.
Can this program be customised for our team?
Yes. We tailor the modules, depth, examples and hands-on projects to your team's current skills, technology stack and business goals.
Where is the training delivered?
On-site at your office or campus, live online for distributed teams, or at our training centre in Nagole, Hyderabad, whichever suits your team best.
How long does the program take?
Duration depends on the modules you choose and your team's availability. Our training proposal includes a detailed schedule with hours, timeline and session plan.
Do participants receive a certificate?
Yes. Participants who complete the program receive a PRR Technologies training completion certificate.
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View programTrain your team in Agentic AI
Tell us your team size, current skill level and preferred format. We will send a tailored training proposal.