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

سرفصل های دوره

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

1. Introduction and Overview

1. Welcome.html

2. Explanation of the Links

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

2. What are AI-Agents A quick overview

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

4. What is Function Calling in LLMs

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

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

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

8. Recap What You Have Learned So Far

3. Creating Your First AI Agents

1. What Will You Learn in This Section

2. Running Flowise Locally with Node.js Installing Node

3. Installing Flowise with Node.js via Command Prompt

4. The Flowise Interface LangChainLangGraph made Easy

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

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

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

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

9. Summary Important Points You Should Not Forget

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

1. What is This Section About

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

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

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

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

6. Overview of Custom Tools in Flowise

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

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

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

10. Recap What You Have Learned and Mistakes to Avoid

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

1. What Will You Learn Here

2. Applications of AI Agents in Business

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

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

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

6. Making Standalone Apps More Appealing

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

8. Generating Leads, Integrating Audio Models & Additional Functions

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

10. Summary Important Points to Remember!

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

1. What Will We Learn in This Section

2. Overview of the Python Code on Github

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

4. Installing Git for Projects from GitHub

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

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

7. Security, API Costs, Speed & Hardware

8. Copy my Python Code (if you like)

9.1 Code & requirements (2).txt

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

10. Recap What You Should Not Forget

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

1. What is This Section About

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

3. Installing Ollama and Downloading Open-Source LLMs

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

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

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

7. Insanely fast inference with the Groq API

8. Llama 3.1 Infos and What Models should you use

9. Important Points to Remember

8. Issues, Security, and Copyrights in AI Agents

1. What Will We Learn in This Section

2. Jailbreaks A Method to Hack LLMs with Prompts

3. Prompt Injections Another Security Vulnerability of LLMs

4. Data Poisoning and Backdoor Attacks

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

6. Privacy & Protection for your own and Client Data

7. Recap Important Points to Remember!

9. Whats Next

1. Whats Next and My Thank You!

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تولید کننده: Udemy