Advanced Certification in
Generative AI, AI Agents & Agentic AI
- 04 Months Program
- IBM Accredited
- 8 Live + 2 Capstone Projects
- 100% Placement Assistance
- Live Online Classes
Why from KAE Education?
IBM Accredition
Stand Out With IBM Certification
300+ Hiring Partners
300+ Hiring Partner Companies
8 + 2 Live Projects
Live 8 Projects + 2 Capstone Projects with Certifications
Lifetime Access
Lifetime Access of Your Live Class Recordings
Our Hiring Partners
What is "AI Agents & Agentic Systems with GenAI"?
Advanced Certification Program in Generative AI, AI Agents and Agentic AI is a specialized certification course that teaches you how to build intelligent, autonomous systems using Generative AI (GenAI), AI Agents, and Agentic AI architectures.
This program focuses on:
AI Agents are intelligent software programs powered by large language models (LLMs) like GPT-4, Claude, or Mistral. These agents are capable of performing a wide range of tasks such as searching the internet, summarizing documents, scheduling meetings, or answering complex queries—all based on user instructions. Unlike simple chatbots, AI Agents can reason through prompts, access external tools and APIs, and execute multi-step processes using frameworks like ReAct or LangChain.They operate with short-term memory and use prompt engineering or logic-based frameworks (like ReAct) to complete tasks efficiently.
Agentic Systems take this concept further by creating advanced, autonomous environments where multiple agents can collaborate, delegate tasks, and make decisions independently. These systems simulate cognitive abilities such as planning, reasoning, memory recall, and self-evaluation. Built with frameworks like LangChain, CrewAI, or AutoGen, agentic systems can carry out complex, goal-driven tasks with minimal human intervention—ideal for use cases like research assistance, business automation, or intelligent personal managers.Agentic systems are built using frameworks like LangChain, AutoGen, or CrewAI, and they can function with minimal human supervision — ideal for complex applications like research assistants, personal AI managers, or enterprise automation.
Generative AI tools to teach you how to power intelligent agents and agentic systems effectively. You’ll gain hands-on experience with tools like ChatGPT and the OpenAI API, which enable natural language understanding and generation; Claude by Anthropic, known for delivering safe, thoughtful, and context-aware responses; LangChain, which helps structure, chain, and extend agent capabilities for complex task execution; and platforms like AutoGPT and CrewAI, which allow you to develop fully autonomous agents that can plan, act, reflect, and improve over time. Together, these tools enable you to build AI systems that go beyond answering questions—they can reason, make decisions, and execute tasks intelligently and independently.
how different sectors are adopting
AI Agents,
Agentic AI &
Generative AI
AI Agents: Automate patient triage, appointment scheduling, and medical queries via chatbots and virtual assistants.
Agentic AI: Personalized health monitoring agents that autonomously track symptoms, suggest treatments, and manage chronic care routines.
Generative AI: Generate patient summaries, medical imaging reports, and personalized wellness plans.
AI Agents: AI tutors that answer student queries, manage study plans, and evaluate quizzes.
Agentic AI: Autonomous learning companions that adapt to a student’s pace, recommend resources, and track long-term progress.
Generative AI: Create customized learning materials, lesson plans, content translations, and visual aids.
AI Agents: Virtual banking assistants for transactions, balance checks, and support.
Agentic AI: Autonomous portfolio managers that evaluate risk, rebalance investments, and provide real-time alerts.
Generative AI: Auto-generate financial reports, client summaries, market research analysis, and fraud pattern detection.
AI Agents: Product recommendation bots, return/exchange support agents, and delivery tracking assistants.
Agentic AI: AI-driven shopping assistants that manage the end-to-end buyer journey—from search to purchase and support.
Generative AI: Generate ad creatives, personalized product descriptions, dynamic landing pages, and influencer scripts.
AI Agents: Resume screeners, interview schedulers, and onboarding assistants.
Agentic AI: Full-cycle recruitment agents that post jobs, evaluate candidates, send offers, and follow up autonomously.
Generative AI: Write JD descriptions, offer letters, training materials, and employee engagement content.
AI Agents: Chatbots for lead generation, FAQs, and 24/7 support.
Agentic AI: Sales agents that autonomously follow up, nurture leads, and optimize campaigns.
Generative AI: Produce high-converting email copies, social media content, product brochures, and pitch decks.
AI Agents: Monitor machine health, inventory levels, and logistics in real time.
Agentic AI: Autonomous supply chain agents that forecast demand, negotiate with suppliers, and coordinate deliveries.
Generative AI: Generate SOPs, technical documentation, and predictive maintenance reports.
AI Agents: Chatbots for fan engagement, support, and content recommendations.
Agentic AI: Autonomous content planners that decide what, when, and how to publish across platforms.
Generative AI: Create scripts, storyboards, short videos, memes, podcast outlines, and music
Who Should Join?
Tools You Will Master
Career Graph After Completing This Course
- Learn GenAI, AI Agents, and Agentic Systems
- Build real projects using LangChain, OpenAI, AutoGPT, etc.
- Earn a recognized certificate from KAE Education & IBM to boost your profile
- AI Prompt Engineer
- LLM Application Developer
- AI Product Associate
- Generative AI Analyst
- Become an AI Solutions Architect or Agent System Designer
- Work in high-growth sectors: EdTech, FinTech, HealthTech, SaaS
- Lead AI teams or start your own AI product/service
- Build tools for education, customer service, finance, or automation
Course Modules
What is Generative AI?
Evolution of AI: Symbolic → Machine Learning → Deep Learning → GenAI
Key Concepts: Transformers, Attention Mechanism, Diffusion Models
Overview of LLMs: GPT, Claude, Gemini, Mistral
Prompt Engineering: Basics & Techniques
Understanding GPT Architecture
Fine-tuning vs. Prompt-tuning
LLM Evaluation and Biases
Using APIs: OpenAI, Anthropic, Cohere, HuggingFace
Embeddings & Vector Databases (Pinecone, FAISS, ChromaDB)
GANs, VAEs & Diffusion Models
Text-to-Image (Stable Diffusion, DALL·E)
Voice & Music Generation (ElevenLabs, Suno AI)
Video & Multimodal AI (Sora, Runway, Pika Labs)
What is an AI Agent?
LangChain Basics: Chains, Tools, Memory
ReAct (Reasoning + Action) Framework
Multi-Agent Systems (AutoGen, CrewAI, OpenAgents)
Vector Search + Tool Use + Planning
What is Agentic AI?
Decision Models: Reflexive, Deliberative, Hybrid
Long-Term Memory for Agents
Planning with LLMs: BabyAGI, AutoGPT
Simulating Real-World Behavior with Agentic Models
Calling APIs within LLM Agents
Plugin Integration (ChatGPT Plugins, LangChain Tools)
Function Calling (OpenAI Function Calling / Tools API)
Web Scraping & Browsing Tools for AI Agents
Open Source Agentic Frameworks
Personal Assistants
AI Sales Agents
Customer Support Agents
Financial Advisory Agents
Education & Career Counseling Agents
Agentic Product Design & Prototyping
Risks of Autonomous Agents
Alignment, Hallucination, Jailbreaking
Guardrails & Human-in-the-loop (HITL) Design
Responsible AI Practices
Regulatory Landscape (EU AI Act, India AI Mission)
Build a fully autonomous career coach AI agent.
Create a multi-agent customer support system.
Design a GenAI-powered knowledge assistant for enterprise use.
Implement a research paper summarization agent using LangChain + OpenAI.
Tools & Frameworks Covered
Languages/Frameworks
LLM APIs
Agentic Platforms
Databases
Cloud/Deployment
Final Deliverables
A fully functional AI project demonstrating your understanding of GenAI, AI agents, or agentic systems—tailored to a real-world use case.
Record or present a walkthrough of your capstone project, explaining how it works, the tools used, and the problem it solves.
Upload your project code, documentation, and use cases to GitHub—showcasing your skills to recruiters and potential clients.
Receive an industry-recognized certificate from KAE Education & IBM, graded based on your performance, project quality, and completion.
Our Experienced Subject Matter Experts
Mr. Aman Raj Das
Mr. Bertram
Ms. Anita
Mr. Harish Kumar
Mr. Rahul Sain
Ms. Deeksha
Sample Certificate
Live Class Video
Frequently Asked Questions
Unlike generic AI courses, this program is hands-on, project-based, and includes real-world applications of GenAI, AI Agents, and Agentic Systems using tools like LangChain, AutoGPT, and OpenAI APIs. It’s built to make you job-ready and tool-smart.
Absolutely! The course starts with a non-technical beginner module (GenAI Essentials) and gradually advances. You can build powerful AI systems even without coding expertise.
You’ll gain hands-on experience with ChatGPT, Claude, LangChain, CrewAI, AutoGPT, ReAct, Pinecone, ChromaDB, and more—covering text, image, video, and autonomous agent development.
Yes, you’ll receive an Advanced Certification from KAE Education & IBM along with a performance grade, project evaluation, and a GitHub-ready portfolio to showcase your skills.
You’ll be equipped for roles like Prompt Engineer, GenAI Developer, AI Agent Designer, or freelance AI automation expert. Salaries range from ₹8–25 LPA, with global opportunities in tech, education, finance, and media.
Yes, each module ends with a practical project. You’ll also submit Capstone Projects, a live demo, and build a GitHub AI Portfolio—all evaluated for your certification.
This is a live, instructor-led online program with fixed class timings. All sessions are recorded and uploaded to your personal LMS dashboard for lifetime access. You can revisit the lectures anytime and learn at your own pace—even after the program ends.
Next batch Starting
25th July, 2025
Tuesday & Friday
8pm to 10pm
02 Days Per Week
