I had a nice experience at Creative-I-Lab. I liked the way the classes were conducted and the learning environment was comfortable. The teachers were supportive and I learned a lot during the course.
Agentic AI Engineering
The Agentic AI Certification Course equips you to build and deploy intelligent AI agents using leading frameworks such as LangChain, CrewAI, LangGraph, and AutoGen. You will learn agent fundamentals, RAG, LLMOps, agent workflows, and real-world deployment through hands-on projects.
9 Lessons
Frameworks, RAG & Multi-Agent Design
Beginner Level
No Prerequisites Required
LangGraph & CrewAI
AutoGen, LangChain & LLMOps
Capstone Project
Production Agent Deployment
What you’ll learn
Master LLM fundamentals and advanced prompt engineering strategies tailored for autonomous agents.
Understand core Agentic AI essentials, architectural design patterns, and single vs. multi-agent systems.
Implement agent workflows using frameworks like LangChain, CrewAI, LangGraph, and AutoGen.
Integrate Retrieval-Augmented Generation (RAG) pipeline techniques with vector databases.
Integrate external APIs and manage end-to-end LLMOps, deployment, and observability.
Evaluate agent performance and build production-grade agentic applications via a practical Capstone Project.
Skills you'll gain
Agentic AI Architecture
LLM Prompt Engineering
Multi-Agent System Design
Retrieval-Augmented Generation (RAG)
Vector Database Management
API Integrations
LLMOps & Observability
Agent Workflow Automation
Tools you'll learn
LangChain
CrewAI
LangGraph
AutoGen
Vector Databases
LLMs
REST APIs
The course covers single and multi-agent systems, API integrations, and agent performance evaluation, helping you earn an industry-recognized certification for top AI roles, guided by expert-led training.
- Course Level: Beginner
- Total Duration: 30 Hours
- Total Curriculum: 9 Lessons
- Training Mode: Classroom (Offline)
- Prerequisites: There are no prerequisites for enrolling in this course, anyone interested can join!
- Target Audiences: AI and Machine Learning roles across research, engineering, product, data, consulting, and creative domains.
Curriculum
30 Hours
|
Beginner
What you’ll learn
Learn core Large Language Model mechanisms and capabilities required for powering intelligent agents.
Skills you'll gain
LLM Core Concepts
Model Capabilities
What you’ll learn
Design and optimize structured prompts to direct agent behavior, reasoning, and tool selection.
Skills you'll gain
System Prompting
Agentic Prompt Design
What you’ll learn
Understand foundational autonomous agent loops, memory management, and decision-making logic.
Skills you'll gain
Agent Foundations
Autonomous Logic
What you’ll learn
Explore modern agent design patterns including ReAct, reflection, and goal planning architectures.
Skills you'll gain
ReAct Pattern
Agent Architecture
What you’ll learn
Build hands-on agent workflows using leading frameworks like LangChain, CrewAI, LangGraph, and AutoGen.
Skills you'll gain
LangChain
CrewAI
LangGraph
AutoGen
What you’ll learn
Connect agents with external knowledge bases via Retrieval-Augmented Generation (RAG) and vector databases.
Skills you'll gain
Vector Search
RAG Pipelines
What you’ll learn
Orchestrate collaborative multi-agent environments for complex task breakdown and execution.
Skills you'll gain
Multi-Agent Orchestration
Agent Communication
What you’ll learn
Monitor, evaluate, and deploy agentic AI systems into production environments with robust LLMOps.
Skills you'll gain
LLMOps
Agent Evaluation
System Observability
What you’ll learn
Design, build, and deploy an end-to-end intelligent Agentic AI application to solve a real-world problem.
Skills you'll gain
Production Agent Deployment
Full-Stack Agentic AI Engineering
Success Stories That Inspire
See how our students transformed their skills, built strong portfolios, and launched successful creative careers.
I joined Creative-I-Lab to improve my skills and I am happy with my decision. The classes are easy to understand and the trainer explains the topics with good examples. I also liked that the batches are small.
Sachin Ghule
I really liked learning at Creative-I-Lab. The teachers are friendly and explain everything in a simple way. The classes are easy to understand and the overall experience was good.
