techcadd Generative AI Course is designed to help students and professionals understand, use, and build applications with modern Artificial Intelligence technologies. The course combines fundamental concepts with practical, hands-on learning so you can develop skills that are relevant to today’s rapidly growing AI industry.

Understand Generative AI Fundamentals

You will begin by learning the fundamentals of Generative AI and understanding how modern AI systems generate text, images, code, and other content. You will explore concepts such as Large Language Models (LLMs), tokens, embeddings, context windows, and AI model capabilities.

Learn Prompt Engineering

Effective communication with AI is an important skill. You will learn how to write clear and effective prompts, use structured prompting techniques, create system instructions, and improve AI responses. Practical exercises will help you understand how to get more accurate and useful results from AI tools.

Work with Large Language Models

The course introduces learners to popular Large Language Models and their APIs. You will understand how AI models can be integrated into applications and how to select suitable models based on performance, cost, and application requirements.

Build RAG-Based AI Applications

You will learn about Retrieval-Augmented Generation (RAG), a popular approach for building AI applications that can work with private or specific information. You will explore document processing, embeddings, vector databases, similarity search, retrieval, and context-based responses.

Explore AI Agents and Tool Calling

Learn how AI agents can perform tasks by interacting with tools and external systems. You will understand agent workflows, tool calling, memory, multi-step tasks, and practical approaches for developing intelligent AI assistants.

Develop AI Applications Using Python

The course provides practical exposure to Python for Generative AI development. You will learn how to connect AI models with applications and work with modern frameworks and tools used for building AI-powered solutions.

Learn About AI Tools and Frameworks

You will gain hands-on exposure to technologies used in modern Generative AI development, including Python, Open AI, Claude, , Hugging Face, vector databases, and other AI development tools.

Work on Practical Projects

Hands-on projects help you apply your knowledge to real-world scenarios. You can develop AI assistants, document-based question-answering systems, content generation tools, research applications, and other AI-powered solutions.

Build Job-Ready Generative AI Skills

By the end of the techcadd Generative AI Course, you will have a practical understanding of Generative AI, prompt engineering, LLMs, RAG, AI agents, vector databases, and AI application development. The project-based learning approach helps you build practical skills and create AI projects that can strengthen your portfolio.