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

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Arnold Oberleiter

9:24:28

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1. Introduction and Overview

1. Welcome.html

2. Explanation of the Links.mp4

02:59

3.1 Links.docx

3.2 Links.pdf

3. Important Links.html

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

1. What This Section is About.mp4

01:03

2. What are AI-Agents A quick overview.mp4

04:15

3. What are LLMs like ChatGPT, Claude, Gemini, Llama, Mistral etc..mp4

16:48

4. What is Function Calling in LLMs.mp4

07:38

5. Vector Databases, Embedding Models & Retrieval-Augmented Generation (RAG).mp4

14:21

6. AI Agents explained & Tools like Autogen, LangChain, LangGraph, CrewAI & more.mp4

16:22

7. What is a API Function calling for AI-Agents with APIs.mp4

04:49

8. Recap What You Have Learned So Far.mp4

02:54

3. Creating Your First AI Agents

1. What Will You Learn in This Section.mp4

02:22

2. Running Flowise Locally with Node.js Installing Node.mp4

05:42

3. Installing Flowise with Node.js via Command Prompt.mp4

07:07

4. The Flowise Interface LangChainLangGraph made Easy.mp4

10:23

5. Our First AI Agent Boss, Creative Writer & Title Generator.mp4

17:01

6. AI Agent No. 2 Social Media Strategy & Prompt Engineering for AI Agents.mp4

15:26

7. AI Agent No. 3 Function Calling, Lead Research on the Web & Personal Emails.mp4

17:20

8. Agent 4 Function Calling, Python Interpreter, Calculator & Local Text Storage.mp4

13:16

9. Summary Important Points You Should Not Forget.mp4

04:56

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

1. What is This Section About.mp4

02:27

2. RAG AI Agent Training LLMs on Your Data & Automatic Content Storage.mp4

19:08

3. Tips for Better RAG Apps Firecrawl for Your Web Data.mp4

06:57

4. RAG with LlamaIndex & LlamaParse Data Preparation for PDFs, Docs, CSV & More.mp4

13:10

5. Chunk Size and Chunk Overlap for a Better RAG Application.mp4

09:46

6. Overview of Custom Tools in Flowise.mp4

06:44

7. Connect any API to Flowise with Custom Tools & JavaScript Functions.mp4

17:37

8. Custom Tools and Automation of Gmail with Make (Part. 1).mp4

12:16

9. Automation of Gmail with Make scenarios, Webhooks, & Google API (Part 2).mp4

12:41

10. Recap What You Have Learned and Mistakes to Avoid.mp4

04:42

5. AI Agents for Business Hosting, Lead Generation & Sales

1. What Will You Learn Here.mp4

01:46

2. Applications of AI Agents in Business.mp4

03:40

3. Example of a Simple AI-Agent then we can sell.mp4

12:44

4. External Hosting of Chatbots for Clients (or for us) on Render.mp4

14:21

5. Integrating AI Agents in Websites or Using Them as Standalone Apps.mp4

09:55

6. Making Standalone Apps More Appealing.mp4

08:30

7. Visually Improving Chatbots on Websites Branding, Style & Integrating Links.mp4

18:19

8. Generating Leads, Integrating Audio Models & Additional Functions.mp4

17:58

9. Selling AI Agents Marketing, Customer Acquisition, Offer, Sales & Warranty.mp4

27:05

10. Summary Important Points to Remember!.mp4

04:11

6. Creating Your Own AI Assistant, Similar to Microsoft Copilot

1. What Will We Learn in This Section.mp4

02:09

2. Overview of the Python Code on Github.mp4

06:34

3. Installing Visual Studio Code (VS Code) for Python, Javascript & more.mp4

04:49

4. Installing Git for Projects from GitHub.mp4

01:00

5. Our Project Microsoft Copilot with Vision as Our Own AI Agent (In Python).mp4

24:33

6. Additional Tips, Use Cases, Different Voices & Prompts.mp4

08:29

7. Security, API Costs, Speed & Hardware.mp4

06:55

8. Copy my Python Code (if you like).mp4

01:34

9.1 Code & requirements (2).txt

9. Code & Requirements for Desktop Recording (Simple).html

10. Recap What You Should Not Forget.mp4

04:35

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

1. What is This Section About.mp4

01:33

2. Pros and Cons of Open-Source LLMs like Llama3.1, Mistral & More.mp4

03:30

3. Installing Ollama and Downloading Open-Source LLMs.mp4

11:45

4. A Simple Open-Source AI Agent with Llama 3.1 & Ollama (LangChainLangGraph).mp4

05:08

5. Advanced Open-Source AI Agent with Llama 3.1 Responding to Emails.mp4

11:49

6. Local RAG Chatbot with Flowise, Llama3 & Ollama A Local Langchain App.mp4

14:42

7. Insanely fast inference with the Groq API.mp4

08:27

8. Llama 3.1 Infos and What Models should you use.mp4

03:42

9. Important Points to Remember.mp4

02:54

8. Issues, Security, and Copyrights in AI Agents

1. What Will We Learn in This Section.mp4

02:03

2. Jailbreaks A Method to Hack LLMs with Prompts.mp4

14:20

3. Prompt Injections Another Security Vulnerability of LLMs.mp4

08:25

4. Data Poisoning and Backdoor Attacks.mp4

03:45

5. Copyrights & Intellectual Property of Generated Data from AI Agents.mp4

07:51

6. Privacy & Protection for your own and Client Data.mp4

04:09

7. Recap Important Points to Remember!.mp4

04:24

9. Whats Next

1. Whats Next and My Thank You!.mp4

06:44

Description

AI Agents with Node.js, Python, JavaScript, LangChain, LangGraph, GPT-4o, Llama, and RAG! Automate tasks, sell software

What You'll 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 is this for?

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

What You Need to Know?

No prior knowledge required, everything is shown step by step.

More details

Description
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"â€”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.
Who this course is for:
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

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Artificial Intelligence

Arnold Oberleiter

Instructor's Courses

Hallo Freunde!ich bin Arnold und ich zeige dir, dass ich der beste Dozent in den Bereichen Kryptowährungen, Investieren, Trading, Makroökonomie und Künstliche Intelligenz bin. Ich lebe für das Vermitteln von Wissen und möchte meine Leidenschaften mit so vielen Menschen wie möglich teilen, um die Welt zu einem besseren Ort zu machen.In meinen Kursen auf Udemy gebe ich Dir nicht nur das nötige Wissen, sondern auch die Tools an die Hand, die Du brauchst, um erfolgreich Geld zu verdienen. Meine Online-Videokurse sind immer von höchster Qualität und ich bin immer für Dich da, wenn Du Fragen hast.Du kannst Dir sicher sein, dass ich Deine Fragen schnell und ausführlich beantworte und oft sogar zusätzliches Material zur Verfügung stelle. Ich möchte dir zum Erfolg verhelfen, den du verdienst und bin überzeugt, dass ich der beste Dozent für Dich bin.Melde Dich noch heute bei einem meiner Kurse an und lass uns gemeinsam Deine Ziele erreichen.Beste Grüße,Dein Dozent Arnold OberleiterArnie!

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