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Unclaimed ProfileThis comprehensive course, led by industry expert Arnold Oberleiter, offers a deep dive into the world of autonomous AI agents, equipping learners with the skills to build, deploy, and commercialize cutting-edge automation solutions. Throughout the curriculum, students explore the mechanics of top-tier frameworks and tools such as LangChain, LangGraph, Flowise, CrewAI, and AutoGen. The course bridges the gap between technical execution and business strategy, guiding developers and entrepreneurs through the creation of Retrieval-Augmented Generation (RAG) pipelines, advanced function calling, and seamless API integrations using Node.js, Python, and JavaScript. Beyond coding, the training covers critical business strategies, including how to price, package, and market AI solutions to prospective clients. Whether you are looking to automate internal business processes, connect local open-source LLMs like Llama 3 via Ollama, or launch a specialized AI agency, this program delivers the practical knowledge needed to succeed. From data preparation with LlamaIndex to deploying production-ready web applications, this course is an essential roadmap for anyone aiming to capitalize on the next wave of artificial intelligence.
About the creator
Arnold Oberleiter
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Reviews
Arnold Oberleiter is a technical educator and developer specializing in cutting-edge AI technologies, autonomous agents, and practical automation tools. His instructional style bridges the gap between complex theoretical concepts and direct, hands-on application. He specializes in breaking down advanced paradigms—such as LLMs (ChatGPT, Gemini, Claude), local deployment of diffusion models, agentic workflows with n8n and LangChain, and integrating AI into daily productivity, investing, and development. By focusing on real-world utility, Arnold guides his students through building tangible local AI architectures, securing autonomous agent installations, and implementing API integrations. He teaches with a pragmatic, project-driven approach, designed to strip away the…Show more
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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
Best For
- Software developers looking to transition into building autonomous AI agents.
- Entrepreneurs and consultants wanting to build and sell AI automation services.
- Tech professionals who want to master LangChain, CrewAI, and Flowise for production-ready apps.
- Business owners aiming to automate internal workflows using RAG and local LLMs.
Not For
- Individuals with zero programming experience or knowledge of Python/JavaScript.
- Those looking for a purely theoretical overview of AI without technical implementation.
- Users who only want to use off-the-shelf AI tools without learning how to build custom agents.
- People seeking a data science or machine learning model training course rather than an agent-building framework course.
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