Course Design By
Nasscom & Wipro
Home /Generative & Agentic AI/ Agentic AI Certification Course
Master Autonomous AI Agents: Build, Deploy & Scale with Expert-Led Agentic AI Training.
In collaboration with
70 Hrs.
Duration
Online/Offline
Format
LMS
Life Time Access
we train you to get hired.
Understand how AI agents work and take decisions
Build smart agents using LangChain and OpenAI APIs
Connect agents to real-time data through APIs and webhooks
Store and search data using vector databases like Pinecone or FAISS
Use tools like Auto-GPT, ReAct, and BabyAGI to create intelligent logic
Build memory and planning into your AI agents
Make multiple agents talk and work with each other
Deploy these agents into real-world apps and workflows
AI Agent Developer: 6 9 LPA
AI Automation Engineer: 5 7 LPA
Lang Chain Developer: 5 8 LPA
AI Intern / Junior AI Engineer: 4 6 LPA
Start as Junior Agent Developer Senior AI Engineer
Automation Engineer AI Solutions Architect
Research Intern AI Researcher or Scientist
Freelance Developer Full-time AI Consultant
Learn hands-on with tools like LangChain, Pinecone, OpenAI
No boring theoryonly real projects and coding
AI agents are the future of automation and smart apps
Helps you get jobs, freelance work, or build your own product
Placement help is included
AI Agent Developer
LangChain Developer
AI Automation Engineer
Prompt Engineer
AI Tools & Workflow Developer
Build smart agents that use prompts, memory, and logic
Connect agents with real-time APIs and tools
Store and fetch data from vector databases
Use tools like ReAct or Auto-GPT for task planning
Automate tasks with multi-agent setups
IT and Cloud Services
Banking and Finance
Healthcare and Medical Research
E-commerce and Online Retail
Robotics and Automation
Marketing and AI-based Advertising
Course Completion Certificate
Project Certificate (based on real work)
Internship/Capstone Project Certificate (optional)
Help building a project-based resume
1-on-1 mock interviews and technical training
Job referrals and hiring partner access
Feedback after every interview
LinkedIn and portfolio optimization
we train you to get hired.
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Agentic AI Introduction
AI Agents vs. Agentic AI
Comparison: Agentic AI, Generative AI, and Traditional AI
Agentic AI Building Blocks
Autonomous Agents
Human in the Loops Systems
Single and Multi Agent AI Systems
Agentic AI Frameworks Overview
Ethical and Responsible AI
Agentic AI Best Practices
AI Implementation Success Stories: Case Studies
Agentic AI Architecture
Agentic Architecture Types
Key Components of the Agentic AI Framework
Perception Module
Cognitive Module
Action Module
Learning Module
Collaboration Module
Security Module
Agentic AI Design Patterns
Reflection Pattern
Tool Use Pattern
Planning Pattern
ReAct (Reasoning and Acting) and ReWOO (Reasoning with Open Ontology)
Multi Agent Pattern
Design Considerations
Components and Modules
Data Ingestion and Document Loaders
Text Splitting
Embeddings
Integration with Vector Databases
Introduction to Langchain Expression Language (LCEL)
Runnables
Chains
Building and Deploying with LCEL
Deployment with Langserve
Introduction to LangGraph
State and Memory
State Schema
State Reducer
Multiple Schemas
Trim and Filter Messages
Memory and External Memory
UX and Human-in-the-Loop (HITL)
Building Agent with LangGraph
Long Term Memory
Short vs. Long Term Memory
Memory Schema
Deployment
What is Agentic RAG
Agentic RAG vs. Traditional RAG
Agentic RAG Architecture and Components
Understanding Adaptive RAG
Variants of Agentic RAG
Applications of Agentic RAG
Agentic RAG with Llamaindex
Agentic RAG with Cohere
Agents
Models
Tools
Knowledge
Chunking
Vector DB
Storage
Embeddings
Workflows
Developing Agents with Phidata
Multi Agent Systems
Multi Agent Workflows
Collaborative Multi Agents
Multi Agent Designs
Multi Agent Workflow with LangGraph
CrewAI Introduction
CrewAI Components
Setting up CrewAI environment
Building Agents with CrewAI
Autogen Introduction
Salient Features
Roles and Conversations
Chat Terminations
Human-in-the-Loop
Code Executor
Tool Use
Conversation Patterns
Developing Autogen-powered Agents
Deployment and Monitoring
Langfuse Overview
Langfuse Dashboard
Tracing
Evaluation
Managing Prompts
Experimentation
AI Observability with Langsmith
Setting up Langsmith
Managing Workflows with Langsmith
AgentOps Practical Implementation
Introduction to No-Code/Low-Code AI
Benefits and Challenges of No-Code AI Development
Key Components of No-Code AI Platforms
Building AI Workflows Without Coding
Designing AI Agents with Drag-and-Drop Interfaces
Integrating No-Code AI with Existing Systems
Customizing and Fine-Tuning AI Solutions
Optimizing Performance and Efficiency in No-Code AI
Security and Compliance Considerations in No-Code AI
Best Practices for Deploying No-Code AI Solutions
Real-World Use Cases and Applications of No-Code AI
Scaling and Future Trends in No-Code AI
+ More Lessons
Course Design By
Nasscom & Wipro
Course Offered By
Croma Campus
Stories
success
inspiration
career upgrad
career upgrad
career upgrad
career upgrad
27-Sep-2025*
22-Sep-2025*
24-Sep-2025*
27-Sep-2025*
22-Sep-2025*
24-Sep-2025*
You will get certificate after
completion of program
You will get certificate after
completion of program
You will get certificate after
completion of program
in Collaboration with
Empowering Learning Through Real Experiences and Innovation
we train you to get hired.
Phone (For Voice Call):
+91-971 152 6942WhatsApp (For Call & Chat):
+91-971 152 6942Get a peek through the entire curriculum designed that ensures Placement Guidance
Course Design By
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Basic Python is helpful, but we teach everything step-by-step with simple examples.
Yes, you’ll build agents that interact with data, APIs, and perform real tasks.
Absolutely! With hands-on skills and our placement help, freshers can get hired.
You’ll learn LangChain, OpenAI, Pinecone, FAISS, ReAct, Auto-GPT, and more.
Most AI courses teach only theory or models. This course is fully practical—you build agents that actually do things.
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