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AI-Agents: Automation & Business with LangChain & LLM Apps
Everyone is talking about AI agents, but very few people understand what they are and even fewer understand how to use them. The complexity of tools like CrewAI, Autogen, BabyAGI, LangChain, LangGraph, LangFlow, n8n, Make, Pydantic, and others is overstated. Are you prepared to fully utilize AI agents’ potential for process automation and customized solution sales by grasping their complexities?
Then you should take this course!
Overview
Explore “AI Agents: Automation & Business through LangChain Apps” to learn about the fundamental and sophisticated ideas of AI agents and LLMs, as well as their architectures and real-world uses. Develop your knowledge and abilities to take the lead in the AI revolution.
Developers, data scientists, AI aficionados, and anybody else who wants to be on the cutting edge of AI agent and LLM technology will find this course ideal. This course gives you the thorough understanding and useful abilities you need, whether your goal is to develop AI agents, automate them, or market customized solutions.
What you will Learn in this AI-Agents: Automation & Business with LangChain & LLM Apps Course?
- 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 Take the AI-Agents: Automation & Business with LangChain & LLM Apps Course?
- 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
Our Package
Introduction and Overview
- Welcome
- Course Overview
Basic: AI-Agents, LLMs, Function Calling, Vector Databases, Embeddings
- What This Section is About1:03
- What are AI-Agents? A quick overview4:15
- What are LLMs like ChatGPT, Claude, Gemini, Llama, Mistral etc.16:48
- What is Function Calling in LLMs?7:38
- Vector Databases, Embedding Models & Retrieval-Augmented Generation (RAG)14:21
- AI Agents explained & Tools like Autogen, LangChain, LangGraph, CrewAI & more16:22
- What is a API? Function calling for AI-Agents with APIs4:49
- Recap: What You Have Learned So Far
Creating your First AI Agents
- What Will You Learn in This Section?2:22
- Info about Updates0:59
- Running Flowise Locally with Node.js: Installing Node5:42
- Installing Flowise with Node.js via Command Prompt7:07
- Problems with the Installation of Flowise in Node.js? Fix it!3:49
- The Flowise Interface: LangChain/LangGraph made Easy10:23
- Our First AI Agent: Boss, Creative Writer & Title Generator17:01
- Flowise V3 with Agentfow V2 is here!0:13
- AI Agent No. 2: Social Media Strategy & Prompt Engineering for AI Agents15:26
- AI Agent No. 3: Function Calling, Lead Research on the Web & Personal Emails17:20
- Agent 4: Function Calling, Python Interpreter, Calculator & Local Text Storage13:16
- Summary: Important Points You Should Not Forget
Agentflow V2
- What’s New in Flowise Agent V2: Key Features & Improvements11:25
- Agent V2 first Workflow with MCP6:41
- Enhance Customer Support with Sentiment Analysis Using AI
Advance AI Agent: RAG, Custom Tools and Action in App
- What is This Section About?2:27
- RAG AI Agent: Training LLMs on Your Data & Automatic Content Storage19:08
- Tips for Better RAG Apps: Firecrawl for Your Web Data6:57
- RAG with LlamaIndex & LlamaParse: Data Preparation for PDFs, Docs, CSV & More13:10
- LlamaIndex brings easy LlamaParse!2:18
- Chunk Size and Chunk Overlap for a Better RAG Application9:46
- Overview of Custom Tools in Flowise6:44
- Connect any API to Flowise with Custom Tools & JavaScript Functions17:37
- Custom Tools and Automation of Gmail with Make (Part. 1)12:16
- Automation of Gmail with Make scenarios, Webhooks, & Google API (Part 2)12:41
- Recap: What You Have Learned and Mistakes to Avoid
AI Agents in Business: Hosting, Lead Generation and Sales
- What Will You Learn Here?1:46
- Applications of AI Agents in Business3:40
- Example of a Simple AI-Agent then we can sell12:44
- External Hosting of Chatbots for Clients (or for us) on Render14:21
- Integrating AI Agents in Websites or Using Them as Standalone Apps9:55
- Making Standalone Apps More Appealing8:30
- Visually Improving Chatbots on Websites: Branding, Style & Integrating Links18:19
- Generating Leads, Integrating Audio Models & Additional Functions17:58
- Selling AI Agents: Marketing, Customer Acquisition, Offer, Sales & Warranty27:05
- Summary: Important Points to Remember!
Creating your Own Ai Assistant, similar to Microsoft Copilot
- What Will We Learn in This Section?2:09
- Overview of the Python Code on Github6:34
- Installing Visual Studio Code (VS Code) for Python, Javascript & more4:49
- Installing Git for Projects from GitHub1:00
- Our Project: Microsoft Copilot with Vision as Our Own AI Agent (In Python)24:33
- Additional Tips, Use Cases, Different Voices & Prompts8:29
- Security, API Costs, Speed & Hardware6:55
- Copy my Python Code (if you like)1:34
- Code & Requirements for Desktop Recording (Simple)1:50
- Recap What You Should Not Forget
AI Agent with Open-Source LLMs: private and Uncensored Ai on your PC
- What is This Section About?1:33
- Pros and Cons of Open-Source LLMs like Llama3.1, Mistral & More3:30
- Installing Ollama and Downloading Open-Source LLMs11:45
- A Simple Open-Source AI Agent with Llama 3.1 & Ollama (LangChain/LangGraph)5:08
- Advanced Open-Source AI Agent with Llama 3.1: Responding to Emails11:49
- Local RAG Chatbot with Flowise, Llama3 & Ollama: A Local Langchain App14:42
- Insanely fast inference with the Groq API8:27
- Llama 3.1: Infos and What Models should you use?3:42
- DeepSeek R1 (new Chinese AI beats OpenAI o1) Infos0:32
- DeepSeek R1 Tutorial
- Important Points to Remember
Issues, Security, and Copyrights in AI Agents
- What Will We Learn in This Section2:03
- Jailbreaks: A Method to Hack LLMs with Prompts14:20
- Prompt Injections: Another Security Vulnerability of LLMs8:25
- Data Poisoning and Backdoor Attacks3:45
- Copyrights & Intellectual Property of Generated Data from AI Agents7:51
- Privacy & Protection for your own and Client Data4:09
- Recap: Important Points to Remember!
Upcoming Batch
March 16th (Weekends)
FRI & SAT (4 Weeks)
08:30 PM to 01:00 AM (CDT)
March 19th (Weekdays)
MON – FRI (18 Days)
10:00 AM to 12:00 PM (CDT)
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