İlgili konular
Bu kursta neler var
- 16 sa 36 dk video
- 34 ders
- Seviye: Orta
- Dil: English
- Nerede kaldığını hatırlıyoruz
- Tamamen ücretsiz, kartsız
Dersler
4 bölüm · 34 ders · 16 sa 36 dk toplam süre
1–10. dersler10 ders · 3 sa 3 dk
- India's Best GenAI Course Launch 2026 | Build 10+ Projects | Python + LangChain + AWS Bedrock17 dk
- #1 What is GenAI? | ML vs DL vs GenAI Explained | Complete GEN-AI Series #genai #techsimplus8 dk
- #2 How LLM Works? | LLM Explained: GPT Architecture | Build Tokeniser in Python #genai #llm22 dk
- #3 GenAI Project Setup from Basic | OpenAI, Google Gemini, Claude, Groq & HuggingFace APIs #genai13 dk
- #4 LangChain Explained | Build Your First QnA Chatbot using LangChain & OpenAI28 dk
- #5 Multiple LLM Models with LangChain | OpenAI, Google Gemini & Anthropic #genai #langchain #gemini17 dk
- #6 Prompt Engineering & LLM's with LangChain | Prompt Chains with LangChain #genai #llm24 dk
- #7 End To End LLM QnA Chatbot with LangChain, Google Gemini and Streamlit | Gen-AI Project #llm23 dk
- #8 Add Memory to AI Chatbot | LangChain Message History Tutorial #genai #llm #langchain14 dk
- #9 Structured Output In LangChain | Generative AI using LangChain and Python #genai #langchain #llm17 dk
11–20. dersler10 ders · 2 sa 45 dk
- #10 Learn Ollama in 10 Minutes - Run LLM Models Locally for FREE | Connect Ollama with LangChain9 dk
- #11 Open Source LLM Models using Groq | Groq Integration with LangChain | 20x Faster than ChatGPT!10 dk
- #12 Stream LLM Responses in Real-Time Like ChatGPT | Complete GenAI Tutorial with LangChain Python8 dk
- #13 AI Agents Explained | What are AI Agents? | Build AI Agents with Python & LangChain #aiagents11 dk
- #14 Building AI Agents from Scratch using LangChain, OpenAI & Python | Build Your First AI Agent17 dk
- #15 Build Google Search AI Agent with Python & LangChain | OpenAI, Google Gemini #aiagents #google16 dk
- #16 Build AI Agent with Memory & Conversation History | Google Search AI Agent with Memory #aiagents10 dk
- #17 QnA Chatbot Faster Than ChatGPT | Streamlit + Groq + LangChain #genai #groq #langchain27 dk
- #18 Build Sql AI Agent using LangChain, Groq & OpenAI | AI Task Manager using Groq #aiagents #groq40 dk
- #19 What is RAG ? | RAG Pipeline Explained | RAG Vs LLMs #rag #genai #llm16 dk
21–30. dersler10 ders · 4 sa 21 dk
- #20 Data Loading in RAG Pipeline | Build RAG Application using LangChain #rag #langchain24 dk
- #21 Text Splitting for RAG Systems | RecursiveCharacterTextSplitter in LangChain #rag #genai13 dk
- #22 Vector Embeddings & Vector Databases Explained | OpenAI Embeddings + ChromaDB + LangChain #genai23 dk
- #23 Build Complete RAG-Based PDF QnA Chatbot | Building Production-Ready RAG Chatbot #genai #ai27 dk
- #24 Build Agentic RAG System from Scratch | Agentic RAG Pipeline | Advanced RAG with AI Agents #ai24 dk
- #25 End-to-End RAG Chatbot with PDF Upload | Streamlit + LangChain + Agentic RAG #rag #aiagents40 dk
- #26 Pydantic Data Validation in Python | Pydantic Crash Course | PyDantic For GEN-AI Developers31 dk
- #27 LangGraph Tutorial | Introduction to LangGraph with Python | Multi-Agent AI Systems Explained27 dk
- #28 Build QnA Chatbot with Memory using LangGraph & GPT LLM | LangGraph QnA Chatbot #langgraph17 dk
- #29 Build Multi AI Agentic System from Scratch using LangGraph | AI Agents with LangGraph #langgraph35 dk
31–34. dersler4 ders · 6 sa 27 dk
- #30 How to Build RAG Pipeline using LangGraph | Build RAG Based QnA System with Multiple Nodes21 dk
- #31 LangGraph Human-in-the-Loop Explained | Add Human Approval to Your AI Agents (2026)41 dk
- #32 Build a Multi-Agent Blog Generator with Human-in-the-Loop | LangGraph + LangChain #langgraph1 sa 56 dk
- AWS Bedrock Complete Course | Lambda, API Gateway, S3, RAG, Bedrock AgentCore & LangChain3 sa 31 dk
Ne gerekiyor
- Temel bilgi işe yarar: kurs temellerin ötesinden devam ediyor.
Açıklama
Master Generative AI from basics to advanced with Python, LangChain, LangGraph, AWS Bedrock, MCP Servers, and more. Build 10+ amazing AI projects with step-by-step tutorials in Hindi/Hinglish.
Bu kurs kimin için
- Python temellerini bilenler.
Bu iki madde kursun seviyesinden çıkardığımız sonuç. Açıklama yazarın kendisine ait.