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AI Engineer - Generative AI / Agentic AI

AI Engineer (Generative AI / Agentic AI) is a comprehensive, hands-on training program designed to help learners build intelligent AI applications using Python, Generative AI, Large Language Models (LLMs), Prompt Engineering, Agentic AI, LangChain, LlamaIndex, RAG, Vector Databases, and OpenAI technologies. The course focuses on real-world projects, AI agents, and automation workflows, enabling students and professionals to develop industry-ready skills for careers in Artificial Intelligence and AI Engineering. 🚀🤖

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12 Students

45 Days

Last Updated Jul 27, 2026

3 sections

22 Lessons

0 Free

What you'll learn

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🚀 AI Engineer (Generative AI / Agentic AI)Step into the future of technology with our comprehensive AI Engineer (Generative AI / Agentic AI) training program.

This industry-focused course is designed for students, software professionals, data analysts, and AI enthusiasts who want to build intelligent applications using the latest advancements in Artificial Intelligence.Throughout the program, you will learn how to develop AI-powered solutions using Python, the most widely used programming language for AI development.

The course covers Generative AI Fundamentals, Prompt Engineering, Large Language Models (LLMs), OpenAI APIs, and modern AI development frameworks used by leading organizations worldwide.You will gain hands-on experience in building intelligent AI systems using LangChain, LlamaIndex, Vector Databases (Pinecone/ChromaDB), and Retrieval-Augmented Generation (RAG) architectures.

The training also includes designing and implementing AI Agents, Agentic Workflows, and autonomous systems capable of reasoning, planning, and executing complex tasks.Our expert trainers will guide you through real-world projects involving AI chatbots, document search systems, AI assistants, workflow automation, and enterprise AI applications.

Machine Learning

Deep Learning (DL)

About This Course

Everything learners should know before enrolling.

🚀 AI Engineer (Generative AI / Agentic AI)

Step into the future of technology with our comprehensive AI Engineer (Generative AI / Agentic AI) training program. This industry-focused course is designed for students, software professionals, data analysts, and AI enthusiasts who want to build intelligent applications using the latest advancements in Artificial Intelligence.

Throughout the program, you will learn how to develop AI-powered solutions using Python, the most widely used programming language for AI development. The course covers Generative AI Fundamentals, Prompt Engineering, Large Language Models (LLMs), OpenAI APIs, and modern AI development frameworks used by leading organizations worldwide.

You will gain hands-on experience in building intelligent AI systems using LangChain, LlamaIndex, Vector Databases (Pinecone/ChromaDB), and Retrieval-Augmented Generation (RAG) architectures. The training also includes designing and implementing AI Agents, Agentic Workflows, and autonomous systems capable of reasoning, planning, and executing complex tasks.

Our expert trainers will guide you through real-world projects involving AI chatbots, document search systems, AI assistants, workflow automation, and enterprise AI applications. You will learn best practices for integrating AI models into business solutions, managing context, handling data pipelines, and deploying production-ready AI applications.

📚 What We Train
✅ Python for AI Development
✅ Generative AI Fundamentals
✅ Prompt Engineering Techniques
✅ Large Language Models (LLMs)
✅ OpenAI & ChatGPT Integration
✅ LangChain Framework
✅ LlamaIndex Framework
✅ AI Agents & Agentic AI
✅ Retrieval-Augmented Generation (RAG)
✅ Vector Databases (Pinecone, ChromaDB)
✅ AI-Powered Chatbots & Assistants
✅ Workflow Automation with AI
✅ Document Intelligence Systems
✅ Real-Time Industry Projects
✅ AI Application Deployment
✅ Interview Preparation & Career Guidance

By the end of this program, you will have the practical skills, project experience, and industry knowledge required to pursue careers as an AI Engineer, Generative AI Developer, Agentic AI Developer, AI Solutions Engineer, LLM Engineer, or AI Automation Specialist.

🎯 Prerequisite: Basic Python Programming Knowledge

Build intelligent applications, automate complex workflows, and become a future-ready AI Engineer with hands-on training from industry experts.

course_curriculum

3 sections / 22 Lessons

Introduction to Machine Learning

Video