Master AI Agents – Build Leads from Scratch

Packt via Coursera

Go to class Write review

Details

Go to class

Provider

Coursera
Pricing

Paid Course
Languages

English
Certificate

Paid Certificate Available
Duration & workload

15 hours 36 minutes
Sessions

On-Demand
Subtitles

English

Found in

Overview

Coursera Flash Sale

40% Off Coursera Plus for 3 Months!

Grab it

This course features Coursera Coach! A smarter way to learn with interactive, real-time conversations that help you test your knowledge, challenge assumptions, and deepen your understanding as you progress through the course. In this course, you will explore the world of AI agents and learn how to build powerful, autonomous AI systems from scratch. You will gain a deep understanding of AI’s history, evolution, and its disruptive impact on industries. By the end of the course, you will be equipped with the tools to create AI agents that automate tasks and generate leads. The course is structured to guide you from the fundamentals of AI to advanced workflows and integrations. You’ll begin by learning the basics, such as what AI agents are, their history, and their ethical considerations. Then, you will move on to practical skills, including using tools like N8N for automation and developing AI agents for tasks like email management, database updates, and lead generation. This course is ideal for anyone looking to leverage AI in business or technical settings. Whether you are a beginner or have some knowledge of AI, this course will take you step by step through the processes of building intelligent agents, configuring workflows, and enhancing their capabilities for real-world applications.

Syllabus

Learn About What Are AI Agents - For Beginners - The Essentials

In this module, we will introduce the concept of AI agents, exploring their evolution from early AI models to the present day. You will learn about the significance of AI today and its potential to reshape industries. The section covers both foundational and ethical considerations, providing a comprehensive view of AI agents' role in business and society.

Asking LLMs Like DeepSeek to Solve Problems for You

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.

High-Level Overview of Our AI Agents and Email Personal Assistant

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.

What Is N8N - Our Advanced Level AI Agent Building Tool

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.

Building an Email Organizing AI Agent Automation

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.

Authorizations for AI Agents with Businesses - Facebook and WhatsApp

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.

Building Our AI Agent from Scratch - Memory and LLM Integration

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.

Advanced - Adding Voice Integration and Custom HTTP Requests with WhatsApp AI

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.

Integrating Email Actions for a WhatsApp AI Agent

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.

Multi AI Agents and Sub-Workflows in N8N for Our Email AI Agent Assistant

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.

An Overview and Live Example of the AI Agent Lead Generator Blueprint

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.

Fundamental Data Flow for AI Agent Design - LLM Systems and APIs

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.

Building the Lead Generating Chat AI Agent Model

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.

Building the AI Agent Tool for Browser Searching and Database Updates

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.

Linking Multiple Agentic Workflows Together to Build a Company of Agents

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.