Generative AI Roadmap – From Beginner to Expert -

Generative AI In-Depth Roadmap – Beginner to Expert

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Master Generative AI from fundamentals to advanced techniques. This course covers AI history, language models, transformers, LLMs, and diffusion models to help you become an expert in AI.

قائمة الدروس

1 - Generative AI In-Depth Roadmap from Beginner to Expert #generativeai #artificialintelligence

2 - Generative AI Complete History Part-1 | Classical AI vs Modern AI | AI vs ML vs DL vs GEN AI

4 - Generative AI history Final Part (part3) | Transformer | LLM | Chatgpt Training | Diffusion Model

5 - @LlamaIndex Introduction | RAG System | LlamaIndex Doc Walkthrough #generativeai #llamaindex #llm

6 - @LlamaIndex Project Setup | Simple Q/A System using OpenAI API and LlamaIndex #OpenAI #LlamaIndex

7 - Google Gemini Introduction Part 1 | Google Gemini Python API #gemini #generativeai #llm

8 - Google gemini API with Python Part 2| text to text generation | image to text generation #gemini #ai

9 - Google gemini API with Python Part 3| Embedding | Saftey Setting #gemini

10 - 🟥 Let’s build QA System with @LlamaIndex and Google Gemini!(LlamaIndex, Gemini Embedding, GeminiPro)

11 - @OpenAI "SORA" Just SHOCKED EVERYONE | Text-to-Video Generation | AGI | Alternatives of SORA

12 - LangChain v/s Llama-Index | Detailed Differences | Which one you should use?

13 - End to End RAG Pipeline Part-1 | RAG Architecture | Ingestion | generation | Reterival #rag #llm

14 - End to End RAG Pipeline Part-2 | Advance Reterival Process | RAG Architecture In depth

15 - RAG Pipeline from Scratch Using OLlama Python & Llama2 | | Llama2 Setup in local PC #llama2 #rag

16 - RAG Application using @LangChain @OpenAI and FAISS #llm #rag #python #langchain #vectordata

17 - RAG Application using Langchain Mistral AI and Weviate db #llm #rag #langchain #vector #mistral

18 - RAG Application Using OpenSource Framework @LlamaIndex and @Mistral-AI #rag #finetuning #llm

19 - Haystack by Deepset - Framework to Build LLM Apps | RAG Pipeline Using Haystack and OpenAI

20 - Discover The Power Of Multilingual Ai Voice Assistant With Google Gemini-pro And gTTS Technology!

21 - End to End RAG Application Using Haystack MistralAI Pinecone & FastAPI #rag #llm #haystack #mistral

22 - Complete Automated Local Setup for AI (ML,DL,GenAI) Development With Vscode, Git, Anaconda & Docker

23 - 25 Best VSCode Extensions for AI (ML,DL,GenAI) Devlopment In 2024

24 - Multimodal RAG Systems: Comprehensive Introduction to Next-Gen AI Technology #multimodal #rag #ai

25 - MultiModal RAG Application Using LanceDB and LlamaIndex for Video Processing

26 - Realtime Multimodal RAG Usecase Part 1 | Extract Image,Table,Text from Documents #rag #multimodal

27 - Realtime Multimodal RAG Usecase Part 2 | MultiModal Summrizer | RAG Application #rag #multimodal #ai

28 - Realtime Multimodal RAG Usecase Part 3 | MultiVectorRetriever with Langchain | RAG Application #rag

29 - Realtime Multimodal RAG Usecase with Google Gemini-Pro-Vision and Langchain | RAG Application #rag

30 - End to End RAG App with Hugging face Google Gemma & MongoDB Vector Search #rag #ai #llm #genai

31 - Building Real-Time RAG Pipeline With Mongodb and Pinecone Part-1 #rag #llm #mongodb #pinecone

32 - Building Real-Time RAG Pipeline With Mongodb and Pinecone Part-2 #rag #llm #mongodb #pinecone

33 - Chat With Multiple Documents(pdfs, docs, txt, pptx etc.) using AstraDB and Langchain #rag #ai

34 - Built Powerful Multimodal RAG using Vertex AI(GCP), AstraDb and Langchain #rag #ai

35 - End to end E-Commerce Chatbot With AWS Deployment using Astra dB(Cassandra), Langchain & Open AI #ai

36 - Realtime Powerful RAG Pipeline using Neo4j(Knowledge Graph Db) and Langchain #rag

37 - Advance RAG 01 - Powerful RAG Using Hybrid Search(Keyword+vVector search) | Ensemble Retrieval

38 - Advacne RAG 02 - Hybrid Search (Keyword + Vector ) & Reranking With Cohere API | Ensemble Retrieval

39 - End-to-End Weather Chatbot with Google DialogFlow and AWS CI/CD Deployment

40 - Advanced RAG 03 - Reranking with Sentence Transformers and BM25 API

41 - Advanced RAG 04 - Reranking with Cross Encoders, and Cohere API

42 - Advance RAG 05 - Merger Retriever and LongContextReorder | Lost in Middle Phenomenon

43 - Advance RAG 06- RAG Fusion (Get More Relevant Results for Your RAG) | Reranking With RRF

44 - Advance RAG 07 - Flash Reranker for Superfast Reranking

45 - Advance RAG 08- Powerful RAG with Langchain Contextual Compression Retriever #ai #llm #openai

46 - Advance RAG 09- Powerful RAG with Self Querying Retriever #ai #llm #openai

47 - Advance RAG 10- Powerful RAG with Parent Document Retriever #ai #llm #openai #gemini

48 - End-to-End RAG With Llama 3.1, Langchain, FAISS and OLlama #ai #llm #llama #huggingface

49 - Advance RAG 11- Powerful RAG with Sentence Window Retriever using @LlamaIndex and @qdrant #ai #llm

50 - Advance RAG 12- Powerful RAG with Merger Retriever and Hypothetical Document Embeddings(HyDE) #ai

51 - Generative AI In-Depth Roadmap from Beginner to Expert #generativeai #artificialintelligence

52 - Generative AI Complete History Part-1 | Classical AI vs Modern AI | AI vs ML vs DL vs GEN AI

54 - Generative AI history Final Part (part3) | Transformer | LLM | Chatgpt Training | Diffusion Model

55 - @LlamaIndex Introduction | RAG System | LlamaIndex Doc Walkthrough #generativeai #llamaindex #llm

56 - @LlamaIndex Project Setup | Simple Q/A System using OpenAI API and LlamaIndex #OpenAI #LlamaIndex

57 - Google Gemini Introduction Part 1 | Google Gemini Python API #gemini #generativeai #llm

58 - Google gemini API with Python Part 2| text to text generation | image to text generation #gemini #ai

59 - Google gemini API with Python Part 3| Embedding | Saftey Setting #gemini

60 - 🟥 Let’s build QA System with @LlamaIndex and Google Gemini!(LlamaIndex, Gemini Embedding, GeminiPro)

61 - @OpenAI "SORA" Just SHOCKED EVERYONE | Text-to-Video Generation | AGI | Alternatives of SORA

62 - LangChain v/s Llama-Index | Detailed Differences | Which one you should use?

63 - End to End RAG Pipeline Part-1 | RAG Architecture | Ingestion | generation | Reterival #rag #llm

64 - End to End RAG Pipeline Part-2 | Advance Reterival Process | RAG Architecture In depth

65 - RAG Pipeline from Scratch Using OLlama Python & Llama2 | | Llama2 Setup in local PC #llama2 #rag

66 - RAG Application using @LangChain @OpenAI and FAISS #llm #rag #python #langchain #vectordata

67 - RAG Application using Langchain Mistral AI and Weviate db #llm #rag #langchain #vector #mistral

68 - RAG Application Using OpenSource Framework @LlamaIndex and @Mistral-AI #rag #finetuning #llm

69 - Haystack by Deepset - Framework to Build LLM Apps | RAG Pipeline Using Haystack and OpenAI

70 - Discover The Power Of Multilingual Ai Voice Assistant With Google Gemini-pro And gTTS Technology!

71 - End to End RAG Application Using Haystack MistralAI Pinecone & FastAPI #rag #llm #haystack #mistral

72 - Complete Automated Local Setup for AI (ML,DL,GenAI) Development With Vscode, Git, Anaconda & Docker

73 - 25 Best VSCode Extensions for AI (ML,DL,GenAI) Devlopment In 2024

74 - Multimodal RAG Systems: Comprehensive Introduction to Next-Gen AI Technology #multimodal #rag #ai

75 - MultiModal RAG Application Using LanceDB and LlamaIndex for Video Processing

76 - Realtime Multimodal RAG Usecase Part 1 | Extract Image,Table,Text from Documents #rag #multimodal

77 - Realtime Multimodal RAG Usecase Part 2 | MultiModal Summrizer | RAG Application #rag #multimodal #ai

78 - Realtime Multimodal RAG Usecase Part 3 | MultiVectorRetriever with Langchain | RAG Application #rag

79 - Realtime Multimodal RAG Usecase with Google Gemini-Pro-Vision and Langchain | RAG Application #rag

80 - End to End RAG App with Hugging face Google Gemma & MongoDB Vector Search #rag #ai #llm #genai

81 - Building Real-Time RAG Pipeline With Mongodb and Pinecone Part-1 #rag #llm #mongodb #pinecone

82 - Building Real-Time RAG Pipeline With Mongodb and Pinecone Part-2 #rag #llm #mongodb #pinecone

83 - Chat With Multiple Documents(pdfs, docs, txt, pptx etc.) using AstraDB and Langchain #rag #ai

84 - Built Powerful Multimodal RAG using Vertex AI(GCP), AstraDb and Langchain #rag #ai

85 - End to end E-Commerce Chatbot With AWS Deployment using Astra dB(Cassandra), Langchain & Open AI #ai

86 - Realtime Powerful RAG Pipeline using Neo4j(Knowledge Graph Db) and Langchain #rag

87 - Advance RAG 01 - Powerful RAG Using Hybrid Search(Keyword+vVector search) | Ensemble Retrieval

88 - Advacne RAG 02 - Hybrid Search (Keyword + Vector ) & Reranking With Cohere API | Ensemble Retrieval

89 - End-to-End Weather Chatbot with Google DialogFlow and AWS CI/CD Deployment

90 - Advanced RAG 03 - Reranking with Sentence Transformers and BM25 API

91 - Advanced RAG 04 - Reranking with Cross Encoders, and Cohere API

92 - Advance RAG 05 - Merger Retriever and LongContextReorder | Lost in Middle Phenomenon

93 - Advance RAG 06- RAG Fusion (Get More Relevant Results for Your RAG) | Reranking With RRF

94 - Advance RAG 07 - Flash Reranker for Superfast Reranking

95 - Advance RAG 08- Powerful RAG with Langchain Contextual Compression Retriever #ai #llm #openai

96 - Advance RAG 09- Powerful RAG with Self Querying Retriever #ai #llm #openai

97 - Advance RAG 10- Powerful RAG with Parent Document Retriever #ai #llm #openai #gemini

98 - End-to-End RAG With Llama 3.1, Langchain, FAISS and OLlama #ai #llm #llama #huggingface

99 - Advance RAG 11- Powerful RAG with Sentence Window Retriever using @LlamaIndex and @qdrant #ai #llm

100 - Advance RAG 12- Powerful RAG with Merger Retriever and Hypothetical Document Embeddings(HyDE) #ai

101 - Generative AI In-Depth Roadmap from Beginner to Expert #generativeai #artificialintelligence

102 - Generative AI Complete History Part-1 | Classical AI vs Modern AI | AI vs ML vs DL vs GEN AI

104 - Generative AI history Final Part (part3) | Transformer | LLM | Chatgpt Training | Diffusion Model

105 - @LlamaIndex Introduction | RAG System | LlamaIndex Doc Walkthrough #generativeai #llamaindex #llm

106 - @LlamaIndex Project Setup | Simple Q/A System using OpenAI API and LlamaIndex #OpenAI #LlamaIndex

107 - Google Gemini Introduction Part 1 | Google Gemini Python API #gemini #generativeai #llm

108 - Google gemini API with Python Part 2| text to text generation | image to text generation #gemini #ai

109 - Google gemini API with Python Part 3| Embedding | Saftey Setting #gemini

110 - 🟥 Let’s build QA System with @LlamaIndex and Google Gemini!(LlamaIndex, Gemini Embedding, GeminiPro)

111 - @OpenAI "SORA" Just SHOCKED EVERYONE | Text-to-Video Generation | AGI | Alternatives of SORA

112 - LangChain v/s Llama-Index | Detailed Differences | Which one you should use?

113 - End to End RAG Pipeline Part-1 | RAG Architecture | Ingestion | generation | Reterival #rag #llm

114 - End to End RAG Pipeline Part-2 | Advance Reterival Process | RAG Architecture In depth

115 - RAG Pipeline from Scratch Using OLlama Python & Llama2 | | Llama2 Setup in local PC #llama2 #rag

116 - RAG Application using @LangChain @OpenAI and FAISS #llm #rag #python #langchain #vectordata

عن الدورة

This comprehensive roadmap by Sunny Savita is designed to take learners from beginner to expert in Generative AI. The course starts with a historical overview of AI, contrasting classical AI with modern AI techniques and exploring the differences between AI, machine learning (ML), deep learning (DL), and Generative AI. You will understand how AI has evolved over time and the key breakthroughs that shaped the field.

The course then dives into the evolution of language models, covering sequence-to-sequence models, RNNs, LSTMs, and GRUs, explaining how each architecture contributes to modern NLP tasks. You will also explore transformers, the foundation of Large Language Models (LLMs), and learn how ChatGPT and other state-of-the-art models are trained and deployed. Finally, the roadmap introduces diffusion models and other generative techniques used in AI today, providing a practical understanding of how generative models create text, images, and other data types.

By the end of this course, you will have a strong theoretical and practical grasp of Generative AI, empowering you to implement AI projects, understand modern LLMs, and stay ahead in this rapidly evolving field.

Generative AI In-Depth Roadmap – Beginner to Expert

قائمة الدروس

عن الدورة

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