4.49 GB | 20min 36s | mp4 | 1280X720 | 16:9
Genre:eLearning |Language:English
Files Included :
1 -Introduction.mp4 (98.56 MB)
1 -Agentic AI - Concept and workflow.mp4 (17.04 MB)
2 -Agentic AI - Overview and Key characteristics.mp4 (27.5 MB)
3 -Agentic AI - Applications.mp4 (22.1 MB)
4 -Agentic AI - Design Pattern.mp4 (73.6 MB)
1 -Crew AI - Overview and components.mp4 (77.86 MB)
2 -Crew AI Hands-On Build simple one agent streamlit app.mp4 (70.63 MB)
3 -Crew AI Hands-On Hierarchical Process.mp4 (120.75 MB)
4 -Crew AI Hands-On Customized Manager Agent.mp4 (66.33 MB)
5 -Crew AI Hands-On Build Trip Planner Agentic app with Streamlit.mp4 (238.99 MB)
6 -Crew AI Hands-On Build Game Python code with Agent.mp4 (116.22 MB)
7 -AgentOps Integrate Trip Planner Agents.mp4 (55.23 MB)
1 -AutoGen - Overview and concepts.mp4 (44.93 MB)
2 -AutoGen Hands-On Overview.mp4 (72.19 MB)
3 -AutoGen Hands-On Execute code with agent.mp4 (72.71 MB)
4 -AutoGen Hands-On Sequential Pattern.mp4 (86.93 MB)
5 -AutoGen Hands-On GroupChat Pattern.mp4 (57.8 MB)
6 -AutoGen Hands-On Two Agents Chat with Streamlit.mp4 (43.78 MB)
7 -AutoGen Hands-On How to create custom tools.mp4 (32.41 MB)
8 -AutoGen Hands-On Agentic RAG with streamlit.mp4 (85.51 MB)
9 -AutogenStudio Microsoft product to build Agents through UI.mp4 (146.97 MB)
1 -Why RAG.mp4 (24.61 MB)
2 -Process of RAG.mp4 (25.68 MB)
1 -What is vector RAG.mp4 (23.94 MB)
2 -Develop vector RAG with Groq API and Langchain.mp4 (116.77 MB)
1 -What is Graph RAG.mp4 (37.52 MB)
2 -Graph RAG with Neo4j.mp4 (162.49 MB)
3 -Hybrid search Graph RAG with Neo4j.mp4 (218.01 MB)
1 -Understand adaptive or self-reflective flow.mp4 (10.63 MB)
2 -Implement Self-reflective RAG chatbot with Langgraph.mp4 (292.6 MB)
1 -LangSmith integration with RAG.mp4 (150.99 MB)
1 -Overview of Generative AI Easy explanation, Gen AI vs Predective AI.mp4 (84.01 MB)
2 -Generative AI - Models Latent Space.mp4 (35.23 MB)
3 -Gen AI Models Auto Encoder and VAE.mp4 (39.31 MB)
4 -Gen AI Models GANs model.mp4 (27.77 MB)
1 -What is NLP.mp4 (16.11 MB)
2 -NLP concepts POS, NER, Chunking, BOW, TF-IDF and Embeddings.mp4 (67.17 MB)
3 -NLP concepts Tokenization, Stemming, Lemmatization.mp4 (22.44 MB)
4 -NLP concepts Evaluation of NLP.mp4 (32.78 MB)
1 -Python, VS Code, Neo4J, API Key setup.mp4 (150.09 MB)
1 -Python basics Hello World, Data Type, If-Else.mp4 (76.05 MB)
2 -Python basics List, Tuples, Set, Dictionary.mp4 (204.71 MB)
3 -Python basics Develop first LLM app.mp4 (78.6 MB)
1 -NLTK - Embedding , Tokenization.mp4 (113.69 MB)
2 -NLTK - BOW, TF-IDF.mp4 (56.91 MB)
1 -Prompt Engineering Concepts, Key Elements, Different techniques.mp4 (95.82 MB)
2 -Prompt engineering hands on with ChatGPT.mp4 (88.24 MB)
3 -Prompting through Groq UI.mp4 (62.53 MB)
4 -Prompting through Gemini.mp4 (61.85 MB)
5 -Gen AI through Microsoft Co Pilot.mp4 (30.25 MB)
1 -Concept of LangChain.mp4 (55.92 MB)
2 -Overview of LCEL(LangChain Expression Language).mp4 (40.7 MB)
3 -Quick hands-on with LCEL.mp4 (153.84 MB)
4 -First LLM Application with LangChain.mp4 (62.58 MB)
5 -First Streamlit Chatbot with LangChain.mp4 (63.24 MB)
1 -LangGraph - Concept and Hands on.mp4 (187.89 MB)]
Screenshot
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