In this module, we will introduce you to prompt engineering and demonstrate how it optimizes DeepSeek’s problem-solving abilities. You will also learn how to use DeepSeek to build an interactive game from scratch, merging creativity with AI technology. Finally, we will explore Ollama and its potential to revolutionize AI applications, making it a game-changer for developers and businesses.

In this module, we will explore how machine learning parameters affect model performance and how you can fine-tune DeepSeek’s capabilities. You will learn how to deploy and run LLMs offline for enhanced control over your AI processes. Additionally, we'll delve into quantization techniques that make LLMs more cost-effective and accessible. Finally, you'll gain hands-on experience by building a personalized resume website, powered by DeepSeek’s AI and running locally on your computer.

In this module, we will introduce the essential tools such as GitHub, Node.js, and Bolt.diy to help you set up a strong development environment. You will then explore how to command AI agents to assist in building sophisticated applications. By the end of the module, you’ll learn how to use AI agents to develop a full-stack application, streamlining the process and enhancing your development experience.

In this module, we will explore the practical applications of AI agents in businesses, highlighting their ability to improve efficiency and uncover new opportunities. You’ll also dive into Make.com, a tool that allows you to automate workflows and integrations without needing any coding skills. By the end, you’ll be equipped to set up automation triggers and develop an AI agent that automates chain emails, saving valuable time and effort.

In this module, we will guide you through setting up Visual Studio Code (VS Code) as a powerful text editor for working with AI agents. You will learn how to install and configure Cline to improve your programming workflow. The module will then show you how AI agents can assist in writing code for you, allowing you to focus on high-level tasks. Finally, you’ll create a fully functional game locally, powered by AI agents to streamline development.

In this module, we will guide you through the process of setting up Playwright to empower AI agents to browse the internet. You will then explore how to command AI agents to autonomously collect and analyze data from the web, making them powerful tools for real-time research and information gathering.