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Generative AI & Agentic AI Training
Course Description
A hands-on training program covering Generative AI, Large Language Models (LLMs) and Agentic AI frameworks -- built for developers, data professionals and AI enthusiasts who want practical, job-ready skills, from LLM fundamentals through to building and deploying real-world AI agents.
What you'll learn in this course?
Designed for developers, data professionals and AI/ML enthusiasts who want a structured, practical path into Generative AI and Agentic AI -- no prior AI experience required, though basic programming familiarity helps.
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Core Python and machine learning / deep learning foundations for AI
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Natural Language Processing (NLP) and generative model fundamentals
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Large Language Models (LLMs), prompt engineering and responsible AI practices
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Retrieval-Augmented Generation (RAG) and vector databases (Pinecone, FAISS, Milvus)
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Building applications with LangChain, LangGraph and LangSmith
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Fine-tuning and evaluating LLMs (LoRA, QLoRA, quantization techniques)
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Designing and deploying autonomous AI agents (LangGraph, AutoGen, CrewAI)
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Multimodal AI, diffusion models and reinforcement learning concepts
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Deploying and monitoring LLM/agent applications (APIs, Docker, MLOps basics)
Exact schedule and hands-on projects are finalised per batch -- get in touch to know the latest curriculum structure.
Course Curriculum
A structured path from Python and machine learning foundations through to Generative AI, LLMs and Agentic AI frameworks, organised into the modules below.
- Python programming fundamentals
- Machine learning basics (regression, classification, clustering)
- Deep learning and neural network fundamentals
- NLP fundamentals: tokenization, embeddings, transformers
- Introduction to Generative AI, GANs and Variational Autoencoders
- Large Language Models (LLMs) and prompt engineering basics
- Retrieval-Augmented Generation (RAG) concepts and pipelines
- Vector databases: Pinecone, Milvus, FAISS
- LLM evaluation metrics and responsible AI guardrails
- LangChain architecture, agents and memory
- Building multi-agent workflows with LangGraph and LangSmith
- Introduction to AI agents and Agentic AI concepts
- Hands-on agent development with LangChain and LangGraph
- Agentic RAG and knowledge graphs
- Open-source LLMs and model evaluation (HuggingFace)
- Fine-tuning LLMs (LoRA, QLoRA) and quantization techniques
- Multimodal LLMs and diffusion models (image/video generation)
- Reinforcement learning fundamentals for AI systems
- Model serving with FastAPI, Streamlit and Gradio
- Deployment strategies, Docker and observability (LangSmith, LangFuse)
- Multi-agent frameworks: AutoGen, CrewAI, MCP
- Capstone project: build and deploy an end-to-end AI agent
Frequently Asked Questions
Basic programming exposure is helpful; Python fundamentals are also covered as part of the course.
Developers, data professionals and AI/ML enthusiasts looking to build practical, job-ready skills in Generative AI and Agentic AI.
This course is Beginner to Advanced level. Duration is 100 - 130 Hours (indicative).
This course is available as Group Batch, 1:1 Training, Corporate Batch. Public batches are conducted online; 1:1 and Corporate training can be delivered offline, based on request.
Yes, a course completion certificate is included with this course.
Yes -- this course is designed to be beginner friendly, so anyone motivated to learn can join. Python and machine learning fundamentals are covered as part of the course itself, so no prior AI experience is required.
Yes, a course completion certificate is provided.
No, fees are non-refundable once you've enrolled. Please reach out to us with any questions before signing up so you're confident this is the right course, format and schedule for you.
Eduzek Trainer
Industry Practitioner & Skilled MentorEduzek trainers are industry experts and certified professionals. With practical insights and a student-first approach, they guide learners through real-world scenarios and ensure strong conceptual understanding across all skill levels. A course completion certificate is provided.
Choose Your Training Format
Public batches are conducted online. 1:1 and Corporate training can be delivered offline, based on request.
Group Batch
Live instructor-led sessions covering Generative AI and Agentic AI. Exact price, batch size and schedule will be confirmed once a batch is scheduled.
Enroll Now1:1 Training
Private sessions, paced and scoped to your goals and timeline.
Get A QuoteCorporate Batch
Tailored for your team's tools and workflows, flexible scheduling, certification available.
Request Corporate TrainingCertification available with all formats, taught by industry-expert and certified trainers.
Final pricing depends on scope, duration, skill and trainer availability -- the figure above is an indicative starting point. Request a quote for an exact number.
Course includes:
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Level
Expert
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Duration
100 - 130 Hours (indicative)
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Mode
Online
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Certification
Yes