Generative AI Mastery With 15+ Real Time Projects
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Discover the limitless possibilities of Generative AI with our in-depth course, “Generative AI Mastery” This expertly designed program takes you on a journey from foundational principles to advanced techniques, offering a hands-on experience that equips you with the skills needed to excel in the world of Generative AI.
Starting with the basics, the course introduces core concepts, ensuring that even those with limited AI knowledge can quickly grasp the fundamentals. As you progress, you’ll delve into more complex topics, focusing on how to build, deploy, and optimize cutting-edge AI models. Using industry-leading tools such as Langchain and Huggingface, you’ll learn to create robust AI solutions that can be applied to real-world scenarios.
The course is highly practical, giving you ample opportunities to work with Generative AI models firsthand. You’ll explore how to generate text, images, and other forms of content, while also mastering techniques for fine-tuning models to suit specific use cases. By the end of the course, you’ll have built, optimized, and deployed AI models, gaining the confidence to integrate these technologies into your projects or professional work.
This course is perfect for AI enthusiasts, developers, data scientists, and professionals looking to transition into the field of Generative AI. Whether you’re just getting started or looking to enhance your existing AI knowledge, this course offers the tools and insights necessary to become proficient in one of the most transformative technologies of our time.
With a focus on practical applications and hands-on learning, the “Complete Generative AI Course with Langchain and Huggingface” will empower you to unlock the full potential of Generative AI and apply it effectively in various domains.
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Introduction of Hugging Face -
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Hands-On Hugging Face - Transformers, HF Pipeline, Datasets, LLMs
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Data processing, Tokenizing and Feature Extraction with hugging face
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Fine-tuning using a pretrain models
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Hugging face API key generation
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Project: Text summrization with hugging face
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Project: Text to Image generation with LLM with hugging face
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Project: Text to speech generation with LLM with hugging face
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Huggingface Platform and its API
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Introduction to OpenAI
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22
What is OpenAI API and how to generate OpenAI API key?
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Local Environment Setup
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Hands on OpenAI - ChatCompletion API and Completion API
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Function Calling in OpenAI
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Project: Telegram bot using OpenAI
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Project: Finetuning of GPT-3 model for text classification
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Project: Audio Transcript Transilation with Whishper
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Project: Image genration with DALL-E
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Complete Guide to Open AI
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The Complete Introduction to Vector Databases
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Mastering Vector Databases with ChromaDB
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Mastering Vector Databases with Pinecone
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Mastering Vector Databases with Weaviate
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Vector Database
This Vector Database quiz tests your knowledge of high-dimensional data storage and retrieval systems. It covers fundamental concepts, popular vector databases like Chroma, Pinecone, and Weaviate, and their applications in AI and machine learning. Questions explore indexing techniques, similarity search algorithms, scalability, and real-world use cases in recommendation systems, image recognition, and natural language processing.
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Introduction & Installation and setup of langchain
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Prompt Templates in Langchain
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Chains in Langchain
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Langchain Agents and Tools
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Memory in Langchain
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Documents Loader in Langchain
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Multi-Dataframe Agents in Langchain
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How to use Hugging face Open Source LLM with Langchain
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Project: Interview Questions Creator Application
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Project: Custom Website Chatbot
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LangChain - Basic to Advance
This comprehensive LangChain quiz assesses your understanding from basics to advanced concepts. It covers key components like Prompt Templates, Chains, and Agents, as well as more complex topics such as Memory systems and Document Loaders. The quiz tests your knowledge of LangChain's integration with various LLMs, its application in building AI-powered tools, and advanced features for handling multi-modal data and complex reasoning tasks.
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Introduction & importance of RAG
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RAG Practical demo
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RAG Vs Fine-tuning
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Build a Q&A App with RAG using Gemini Pro and Langchain
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Retrieval Augmented Generation (RAG)
Test your understanding of Retrieval Augmented Generation (RAG) with this comprehensive quiz! RAG combines pre-trained language models with external knowledge retrieval to provide more accurate and contextually relevant responses. This quiz will assess your knowledge of RAG’s core concepts, including how it integrates retrieval mechanisms, the role of vector embeddings in semantic search, and its advantages and limitations compared to other approaches like fine-tuning. Perfect for anyone looking to deepen their understanding of RAG in real-world applications such as Q&A systems, content generation, and more.
