In this module, we will dive into prompt engineering and learn how to leverage DeepSeek for AI-driven problem-solving. You'll gain hands-on experience building an AI-based game, demonstrating how to apply your new skills to real-world projects.

In this module, we will introduce the practical applications of AI agents, focusing on simplifying workflows for beginners. You'll also explore how AI agents can automate email tracking and database management, increasing efficiency in personal and business operations.

In this module, we will introduce N8N, an advanced tool for building and automating complex AI agent workflows. You'll learn the fundamentals of using N8N to streamline AI-driven automation and how to integrate it seamlessly into your agent projects.

In this module, you will explore how to use N8N to build an AI agent specifically designed for automating email organization. From setting up trigger nodes to integrating advanced AI for email categorization, this section provides you with the tools to automate your email management tasks.

In this module, we will guide you through the process of integrating AI agents with WhatsApp and Facebook Business accounts. You will learn how to create trigger events, set up developer credentials, and configure AI agents to automate communication tasks within these platforms.

In this module, you will gain hands-on experience building an AI agent from scratch. We’ll cover integrating memory management, connecting LLMs to enhance conversational abilities, and developing AI agents for WhatsApp, ensuring a smooth interaction between all components.

In this module, you will discover how to add voice functionality and customize HTTP requests for WhatsApp AI agents. You’ll also learn to manage different media outputs and leverage cloud protocols for seamless integration and enhanced user experiences.

This module focuses on integrating email capabilities within your WhatsApp AI agent, allowing you to automate tasks like sending and responding to emails. You will also learn to work with custom databases for better workflow management and targeted actions.

In this module, we will explore how to create and manage multi-agent workflows within N8N, enabling you to scale your automation. You will learn advanced parsing techniques, build sub-workflows, and understand how to merge data for more efficient operations.

In this module, we’ll showcase a live demonstration of an AI agent designed for lead generation. You’ll gain insight into the project’s structure and workflow, setting you up for success as you move forward with your own AI-driven lead generation strategies.

This module delves into the essential elements of designing AI agent workflows, from setting up trigger events to debugging and optimizing processes. We will also cover key aspects of prompt engineering to enhance the efficiency and effectiveness of your AI agents.

In this module, we will focus on building a lead-generating chat AI agent using parameters, memory management, and mock data. You'll explore OOP concepts, JavaScript objects, and how AI agents can scrape the internet to enhance decision-making.

In this module, we’ll guide you through building a browser-searching AI agent using programmable search engines. You’ll learn to configure API keys, set up HTTP requests, and use function nodes for enhanced AI agent functionality.

In this final module, you will learn to scale your AI agent network by linking multiple agents with specialized skills. We will show you how to use Google Sheets for data management and provide insights into improving and expanding your AI agent empire.