In this module, we explore the power of AI in text processing through practical projects. You’ll learn to create tools like a text summarizer, content generator, and grammar checker using advanced models like Mistral, LLaMA 3, and Deepseek R1 for a variety of real-world applications.

In this module, we’ll guide you through creating intelligent AI agents for customer support, personal assistance, and e-commerce. You’ll harness the power of models like QWQ, LLaMA 2, and Granite 3.2 to develop bots that can enhance user interaction and automation.

In this module, we’ll introduce the concept of AI agents, highlighting their potential to automate processes. You’ll learn to set up Ollama for AI development, and then dive into building a simple agent that remembers past interactions to provide more intelligent responses.

In this module, we’ll focus on building a personal AI assistant that can understand and respond to voice commands. We’ll guide you through the process of adding voice functionality, then turn your assistant into a web-based application, making it accessible from any device.

In this module, we’ll teach you how to develop an AI-powered web scraper that can autonomously gather and process data from websites. We’ll also explain how to store this data in a vector database, ensuring it can be efficiently queried for future use.

In this module, you’ll learn how to build an AI-powered document reader that extracts key insights from documents. We’ll also show you how to develop a Q&A bot that can answer specific questions, and how to enable users to download AI-generated document summaries for easy reference.