Generative Ai With Python By Bert Gollnick
Published 7/2025
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English | Duration: 9h 40m | Size: 3.89 GB
LLMs, Vector DBs, RAG, Agentic Systems, and more
What you'll learn
Go beyond basic chatbots and learn to harness the intelligence of Large Language Models (LLMs) using Python.
Discover how to create and leverage Vector Databases to store and efficiently retrieve information for your AI applications.
Learn the cutting-edge technique that allows your AI to answer complex questions using your own data sources, making it smarter and more accurate.
Explore the fascinating world of Agentic Systems and build autonomous AI agents that can perform tasks, make decisions, and interact with their environment.
Get hands-on experience building practical projects that showcase the power and versatility of generative AI.
Understand the fundamental concepts behind generative AI and gain the practical Python skills to bring your ideas to life.
Acquire a deep understanding of the core technologies driving the next generation of intelligent applications.
Requirements
Basic Python knowledge is required - you should know about basic data types, how to implement loops, or how to write functions.
Description
Unlock the transformative power of Generative AI with Python! This comprehensive course equips you with the essential knowledge and practical Python skills to master the core technologies driving this revolution, enabling you to build intelligent applications that understand, generate, and interact with language remarkably.You'll delve into the fundamentals of Large Language Models (LLMs) and the crucial role of Vector Databases for efficient information retrieval. Discover the power of Retrieval-Augmented Generation (RAG), which allows your AI to answer complex questions using your own data, making it smarter and more contextually aware.Furthermore, you'll explore the exciting domain of Agentic Systems, learning how to design and build autonomous AI agents capable of performing tasks and making decisions.In my course I will teach you:Large-Language ModelsClassical NLP vs. LLM Narrow AI Achievements Model Performance and Achievements Model Training Process Model Improvement Options Model Providers Model Benchmarking Interaction with LLMsMessage TypesLLM ParametersLocal Use of ModelsLarge Multimodal ModelsTokenizationReasoning ModelsSmall Language ModelsJailBreakingWorking with ChainsParallel Chains, Router Chains, ...Vector DatabasesData Ingestion PipelineData source and data loadingdata chunkingembeddingsdata storagedata queryingRetrieval-Augmented GenerationBaseline RAGContext EnrichmentCorrective RAGHybrid RAGQuery ExpansionSpeculative RAGAgentic RAGAgentic SystemscrewAIGoogle ADKOpenAI Agents SDKAG2Agent InteractionsMCPACPA2A
Who this course is for
Python Programmers who want to expand their knowledge into the rapidly growing field of artificial intelligence and generative models.
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