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Course Content
Introduction and Overview
0/3
Course Overview
07:14
My Goal and a Few Tips
04:26
Explanation of the Links
02:59
Basics:Al Agents,LLMs, Function Calling, Vector Databases & ·Embeddings
0/8
What This Section is About
01:03
What are Al-Agents? A quick overview
04:16
What are LLMs like ChatGPT, Claude, Gemini, Llama, Mistral etc
16:48
What is Function Calling in LLMs
07:38
Vector Databases, Embedding Models & Retrieval-Augmented Generation (RAG)
14:21
AI Agents explained & Tools like Autogen, LangChain, LangGraph, CrewAI & more
16:22
What is a API Function calling for AI-Agents with APIs
04:49
Recap What You Have Learned So Far
02:54
Creating Your First AI Agents
0/9
• What Will You Learn in This Section?
02:22
• Running Flowise Locally with Node.js: Installing Node
05:42
• Installing Flowise with Node.js via Command Prompt
07:07
• The Flowise Interface: LangChain/LangGraph made Easy
10:24
• Our First AI Agent: Boss, Creative Writer & Title Generator
17:01
• AI Agent No. 2: Social Media Strategy & Prompt Engineering for AI Agents
15:26
• AI Agent No. 3: Function Calling, Lead Research on the Web & Personal Emails
17:20
• Agent 4: Function Calling, Python Interpreter, Calculator & Local Text Storage
13:16
• Summary: Important Points You Should Not Forget
04:56
Advanced AI Agents RAG, Custom Tools & Actions in Apps
0/11
1. What is This Section About?
02:27
2. RAG AI Agent: Training LLMs on Your Data & Automatic Content Storage
19:08
3. Tips for Better RAG Apps: Firecrawl for Your Web Data
06:57
4. RAG with LlamaIndex & LlamaParse: Data Preparation for PDFs, Docs, CSV & More
13:10
5. LlamaIndex brings easy LlamaParse!
02:18
6. Chunk Size and Chunk Overlap for a Better RAG Application
09:46
7. Overview of Custom Tools in Flowise
06:44
8. Connect any API to Flowise with Custom Tools & JavaScript Functions
17:37
9. Custom Tools and Automation of Gmail with Make (Part. 1)
12:17
10. Automation of Gmail with Make scenarios, Webhooks, & Google API (Part 2)
12:41
11. Recap: What You Have Learned and Mistakes to Avoid
04:42
AI Agents for Business Hosting, Lead Generation & Sales
0/10
1. What Will You Learn Here
01:46
2. Applications of AI Agents in Business
03:40
3. Example of a Simple AI-Agent then we can sell
12:44
4. External Hosting of Chatbots for Clients (or for us) on Render
14:21
5. Integrating AI Agents in Websites or Using Them as Standalone Apps
09:55
6. Making Standalone Apps More Appealing
08:30
7. Visually Improving Chatbots on Websites: Branding, Style & Integrating Links
18:19
8. Generating Leads, Integrating Audio Models & Additional Functions
17:58
9. Selling AI Agents: Marketing, Customer Acquisition, Offer, Sales & Warranty
27:05
10. Summary: Important Points to Remember!
04:11
Creating Your Own AI Assistant, Similar to Microsoft Copilot
0/9
1. What Will We Learn in This Section
02:09
2. Overview of the Python Code on Github
06:34
3. Installing Visual Studio Code (VS Code) for Python, Javascript & more
04:49
4. Installing Git for Projects from GitHub
01:00
5. Our Project: Microsoft Copilot with Vision as Our Own AI Agent (In Python)
24:33
6. Additional Tips, Use Cases, Different Voices & Prompts
08:29
7. Security, API Costs, Speed & Hardware
06:55
8. Copy my Python Code (if you like)
01:34
9. Recap What You Should Not Forget
04:35
AI Agents with Open-Source LLMs Private & Uncensored AI on Your PC
0/9
1. What is This Section About?
01:33
2. Pros and Cons of Open-Source LLMs like Llama3.1, Mistral & More
03:31
3. Installing Ollama and Downloading Open-Source LLMs
11:45
4. A Simple Open-Source AI Agent with Llama 3.1 & Ollama (LangChain/LangGraph)
05:08
5. Advanced Open-Source AI Agent with Llama 3.1: Responding to Emails
11:49
6. Local RAG Chatbot with Flowise, Llama3 & Ollama: A Local Langchain App
14:42
7. Insanely fast inference with the Groq API
08:27
8. Llama 3.1: Infos and What Models should you use?
03:42
9. Important Points to Remember
02:54
Issues, Security, and Copyrights in AI Agents
0/7
1. What Will We Learn in This Section
02:03
2. Jailbreaks: A Method to Hack LLMs with Prompts
14:20
3. Prompt Injections: Another Security Vulnerability of LLMs
08:25
4. Data Poisoning and Backdoor Attacks
03:45
5. Copyrights & Intellectual Property of Generated Data from AI Agents
07:51
6. Privacy & Protection for your own and Client Data
04:09
7. Recap: Important Points to Remember!
08:07
What’s Next
0/1
1 – What’s Next and My Thank You!–[koudaizy.com]
06:44
AI-Agents Automation & Business with LangChain & LLM Apps
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