AI-Agents: Automation & Business with LangChain & LLM Apps

AI-Agents: Automation & Business with LangChain & LLM Apps, available at $54.99, has an average rating of 4.95, with 71 lectures, based on 49 reviews, and has 680 subscribers.

You will learn about Basics of AI agents like Autogen, LangChain, LangFlow, Flowise, LangGraph, BabyAGI, CrewAI & more Basics of LLMs like ChatGPT, Claude, Gemini, Llama, Mistral, GPT-4o & more with Function calling in LLMs All about vector databases, embedding models & retrieval-augmented generation (RAG) Creating AI agents for automating content, emails, lead research & more Installation and operation of Flowise with Node Function calling for external APIs, Python interpreter, calculator, Gmail, Serper, Make & more RAG AI agent: Training on own data & automatic saving of files on your PC Data preparation for RAG: PDFs, Docs, CSV & more with LlamaIndex & LlamaParse Integration and automation of custom tools in Flowise API connection and automation with JavaScript, Python and Make AI agents in business: offering, pricing, sales, customer acquisition Marketing strategies for selling AI agents Integration of AI agents into websites or as standalone apps Installation of VS Code and Git Local Microsoft Copilot with Vision as an AI agent in Python AI agents with open-source LLMs: Ollama, Llama 3.1 & more Choosing the right LLM for the AI agent Issues, security, and copyrights in AI agents This course is ideal for individuals who are To everyone who wants to learn something new and gain deep insights into AI agents or To entrepreneurs who want to become more efficient, save money, or build an AI business or To individuals interested in AI and wanting to build their own agents or To anyone who wants to automate tasks It is particularly useful for To everyone who wants to learn something new and gain deep insights into AI agents or To entrepreneurs who want to become more efficient, save money, or build an AI business or To individuals interested in AI and wanting to build their own agents or To anyone who wants to automate tasks.

Enroll now: AI-Agents: Automation & Business with LangChain & LLM Apps

Summary

Title: AI-Agents: Automation & Business with LangChain & LLM Apps

Price: $54.99

Average Rating: 4.95

Number of Lectures: 71

Number of Published Lectures: 71

Number of Curriculum Items: 71

Number of Published Curriculum Objects: 71

Original Price: $199.99

Quality Status: approved

Status: Live

What You Will Learn

Basics of AI agents like Autogen, LangChain, LangFlow, Flowise, LangGraph, BabyAGI, CrewAI & more
Basics of LLMs like ChatGPT, Claude, Gemini, Llama, Mistral, GPT-4o & more with Function calling in LLMs
All about vector databases, embedding models & retrieval-augmented generation (RAG)
Creating AI agents for automating content, emails, lead research & more Installation and operation of Flowise with Node
Function calling for external APIs, Python interpreter, calculator, Gmail, Serper, Make & more
RAG AI agent: Training on own data & automatic saving of files on your PC
Data preparation for RAG: PDFs, Docs, CSV & more with LlamaIndex & LlamaParse
Integration and automation of custom tools in Flowise
API connection and automation with JavaScript, Python and Make
AI agents in business: offering, pricing, sales, customer acquisition
Marketing strategies for selling AI agents
Integration of AI agents into websites or as standalone apps
Installation of VS Code and Git
Local Microsoft Copilot with Vision as an AI agent in Python
AI agents with open-source LLMs: Ollama, Llama 3.1 & more
Choosing the right LLM for the AI agent
Issues, security, and copyrights in AI agents

Who Should Attend

To everyone who wants to learn something new and gain deep insights into AI agents
To entrepreneurs who want to become more efficient, save money, or build an AI business
To individuals interested in AI and wanting to build their own agents
To anyone who wants to automate tasks

Target Audiences

To everyone who wants to learn something new and gain deep insights into AI agents
To entrepreneurs who want to become more efficient, save money, or build an AI business
To individuals interested in AI and wanting to build their own agents
To anyone who wants to automate tasks

AI agents are on everyone’s lips, but few know what they are and even fewer know how to use them.

Tools like CrewAI, Autogen, BabyAGI, LangChain, LangGraph, LangFlow etc., sound more complex than they are.

Are you ready to master the intricacies of AI agents and leverage their full potential for process automation and selling tailored solutions?

Then this course is for you!

Dive into “AI Agents: Automation & Business through LangChain Apps”—where you will explore the basic and advanced concepts of AI agents and LLMs, their architectures, and practical applications. Transform your understanding and skills to lead in the AI revolution.

This course is perfect for developers, data scientists, AI enthusiasts, and anyone wanting to be at the forefront of AI agent and LLM technology. Whether you want to create AI agents, perfect their automation, or sell tailored solutions, this course provides you with the comprehensive knowledge and practical skills you need.

What to expect from this course:

Comprehensive knowledge of AI agents and LLMs:

Basics of AI Agents and LLMs: Introduction to AI agents like Autogen, LangChain, LangGraph, LangFlow, CrewAI, BabyAGI & their LLMs (GPT-4, Claude, Gemini, Llama & more).
Tools and Techniques: Using LangChain, LangGraph, and other tools to create AI agents.
Function Calling and Vector Databases: Understanding function calling and using vector databases and embedding models.

Creating and deploying AI agents:

Installation and Use of Flowise with Node: Step-by-step guides for installing and using Flowise.
Creating and Deploying AI Agents for Various Tasks: Developing creative writers, social media strategists, and function-calling agents.

Advanced techniques for AI agents:

RAG AI Agents: Training LLMs on your own data and automatic local text storage.
Data Preparation and Integration: Using LlamaIndex, LlamaParse, and other tools for data preparation and integration in Flowise.
API Connection and Automation: Connecting APIs and automating with JavaScript, Python, and Make.

AI agents in a business environment:

Use Cases and Integration: Hosting and integrating AI agents into websites or as standalone apps.
Lead Generation and Marketing: Strategies for generating leads and selling AI agents.

Creating your own AI assistant:

Python Code and Installation: Developing a local Microsoft Copilot-like AI agent with Vision and Python.
Using VS Code and Git: Step-by-step guides for installing and using VS Code and Git.

AI agents with open-source LLMs:

Pros and Cons of Open-Source LLMs: Using and installing open-source LLMs like Llama 3.
Installing and Using Ollama with Llama 3.1 and Other Open-Source LLMs.
Creating Open-Source AI Agents: Developing simple and advanced open-source AI agents.

Issues, security, and copyrights in AI agents:

Security Measures and Privacy: Understanding jailbreaks, prompt injections, and data poisoning.
Copyrights and Privacy: Handling copyrights and privacy for generated AI agent data.

Practical applications and API integration:

API Basics and Integration Skills: Using the OpenAI API, Google API, and more for various applications.
Developing AI Apps: Creating apps with Whisper, GPT-4, and more.

Innovative tools and agents:

Overview of Microsoft Autogen and CrewAI.
Implementing Flowise: Integrating Flowise with function calls and open-source LLMs as a chatbot.

Harness the power of AI agents and LLM technology to develop solutions and expand your understanding of their applications.

At the end of “AI Agents: Automation & Business through LangChain Apps,” you will have a holistic understanding of AI agents and LLMs and the skills to use them for various purposes. If you are ready to be at the forefront of this technological revolution, this course is for you.

Enroll today and become an expert in AI agents and large language models.

Course Curriculum

Chapter 1: Introduction and Overview

Lecture 1: Welcome

Lecture 2: Course Overview

Lecture 3: My Goal and a Few Tips

Lecture 4: Explanation of the Links

Lecture 5: Important Links

Chapter 2: Basics: AI Agents, LLMs, Function Calling, Vector Databases & Embeddings

Lecture 1: What This Section is About

Lecture 2: What are AI-Agents? A quick overview

Lecture 3: What are LLMs like ChatGPT, Claude, Gemini, Llama, Mistral etc.

Lecture 4: What is Function Calling in LLMs?

Lecture 5: Vector Databases, Embedding Models & Retrieval-Augmented Generation (RAG)

Lecture 6: AI Agents explained & Tools like Autogen, LangChain, LangGraph, CrewAI & more

Lecture 7: What is a API? Function calling for AI-Agents with APIs

Lecture 8: Recap: What You Have Learned So Far

Chapter 3: Creating Your First AI Agents

Lecture 1: What Will You Learn in This Section?

Lecture 2: Running Flowise Locally with Node.js: Installing Node

Lecture 3: Installing Flowise with Node.js via Command Prompt

Lecture 4: The Flowise Interface: LangChain/LangGraph made Easy

Lecture 5: Our First AI Agent: Boss, Creative Writer & Title Generator

Lecture 6: AI Agent No. 2: Social Media Strategy & Prompt Engineering for AI Agents

Lecture 7: AI Agent No. 3: Function Calling, Lead Research on the Web & Personal Emails

Lecture 8: Agent 4: Function Calling, Python Interpreter, Calculator & Local Text Storage

Lecture 9: Summary: Important Points You Should Not Forget

Chapter 4: Advanced AI Agents: RAG, Custom Tools & Actions in Apps

Lecture 1: What is This Section About?

Lecture 2: RAG AI Agent: Training LLMs on Your Data & Automatic Content Storage

Lecture 3: Tips for Better RAG Apps: Firecrawl for Your Web Data

Lecture 4: RAG with LlamaIndex & LlamaParse: Data Preparation for PDFs, Docs, CSV & More

Lecture 5: LlamaIndex brings easy LlamaParse!

Lecture 6: Chunk Size and Chunk Overlap for a Better RAG Application

Lecture 7: Overview of Custom Tools in Flowise

Lecture 8: Connect any API to Flowise with Custom Tools & JavaScript Functions

Lecture 9: Custom Tools and Automation of Gmail with Make (Part. 1)

Lecture 10: Automation of Gmail with Make scenarios, Webhooks, & Google API (Part 2)

Lecture 11: Recap: What You Have Learned and Mistakes to Avoid

Chapter 5: AI Agents for Business: Hosting, Lead Generation & Sales

Lecture 1: What Will You Learn Here?

Lecture 2: Applications of AI Agents in Business

Lecture 3: Example of a Simple AI-Agent then we can sell

Lecture 4: External Hosting of Chatbots for Clients (or for us) on Render

Lecture 5: Integrating AI Agents in Websites or Using Them as Standalone Apps

Lecture 6: Making Standalone Apps More Appealing

Lecture 7: Visually Improving Chatbots on Websites: Branding, Style & Integrating Links

Lecture 8: Generating Leads, Integrating Audio Models & Additional Functions

Lecture 9: Selling AI Agents: Marketing, Customer Acquisition, Offer, Sales & Warranty

Lecture 10: Summary: Important Points to Remember!

Chapter 6: Creating Your Own AI Assistant, Similar to Microsoft Copilot

Lecture 1: What Will We Learn in This Section?

Lecture 2: Overview of the Python Code on Github

Lecture 3: Installing Visual Studio Code (VS Code) for Python, Javascript & more

Lecture 4: Installing Git for Projects from GitHub

Lecture 5: Our Project: Microsoft Copilot with Vision as Our Own AI Agent (In Python)

Lecture 6: Additional Tips, Use Cases, Different Voices & Prompts

Lecture 7: Security, API Costs, Speed & Hardware

Lecture 8: Copy my Python Code (if you like)

Lecture 9: Code & Requirements for Desktop Recording (Simple)

Lecture 10: Recap What You Should Not Forget

Chapter 7: AI Agents with Open-Source LLMs: Private & Uncensored AI on Your PC

Lecture 1: What is This Section About?

Lecture 2: Pros and Cons of Open-Source LLMs like Llama3.1, Mistral & More

Lecture 3: Installing Ollama and Downloading Open-Source LLMs

Lecture 4: A Simple Open-Source AI Agent with Llama 3.1 & Ollama (LangChain/LangGraph)

Lecture 5: Advanced Open-Source AI Agent with Llama 3.1: Responding to Emails

Lecture 6: Local RAG Chatbot with Flowise, Llama3 & Ollama: A Local Langchain App

Lecture 7: Insanely fast inference with the Groq API

Lecture 8: Llama 3.1: Infos and What Models should you use?

Lecture 9: Important Points to Remember

Chapter 8: Issues, Security, and Copyrights in AI Agents

Lecture 1: What Will We Learn in This Section

Lecture 2: Jailbreaks: A Method to Hack LLMs with Prompts

Lecture 3: Prompt Injections: Another Security Vulnerability of LLMs

Lecture 4: Data Poisoning and Backdoor Attacks

Lecture 5: Copyrights & Intellectual Property of Generated Data from AI Agents

Lecture 6: Privacy & Protection for your own and Client Data

Lecture 7: Recap: Important Points to Remember!

Chapter 9: What’s Next?

Lecture 1: What’s Next and My Thank You!

Lecture 2: Bonus

Instructors

Arnold Oberleiter
Dein Dozent

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4 stars: 5 votes
5 stars: 48 votes

Frequently Asked Questions

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