Share Description
In this course, you will :
- Learn to build powerful generative AI apps using the Langchain framework and Huggingface's cutting-edge models.
- Understand the architecture and design patterns for developing strong generative AI systems.
- Gain firsthand experience deploying generative AI models in a variety of contexts, including cloud platforms and on-premise servers.
- Investigate several deployment options for assuring the scalability and stability of AI systems.
- Create Retrieval-Augmented Generation (RAG) pipelines to improve the performance and accuracy of generative models by including retrieval techniques.
- Learn how to effectively integrate Huggingface's pre-trained models into Langchain applications, utilizing its rich NLP capabilities.
- Customize and fine-tune Huggingface models to meet unique application needs and scenarios.
- Work on real-world projects demonstrating the use of generative AI in a variety of disciplines, including chatbots, content production, and data augmentation.
Syllabus:
- Python Control Flow
- Data Structures Using Python
- Functions In Python
- Importing, Creating Modules And Packages
- File Handling In Python
- Exception Handling
- OOPS Classes And Objects
- Streamlit With Python
- Machine Learning For NLP (Prerequisites)
- Deep Learning For NLP(Prerequisites)
- Simple RNN Indepth Intuition
- ANN Project Implementation
- End To End Deep Learning Projects With Simple RNN
- LSTM RNN Indepth Intuition
- LSTM And GRU End To End Deep Learning Project- Predicting Next Word
- Bidirerctional RNN Indepth Intuition
- Encoder And Decoder|Sequence To Sequence Architecture
- Attention Mechanism-Seq2Seq Networks
- Transformers
- Introduction To Generative AI And LLM Models
- Introduction To Langchain For Generative AI
- Getting Started With Langchain And OpenAI
- Important Components And Modules In Langchain
- Getting Started With Open AI And Ollama
- Building Basic LLM application Using LCEL(LangChain Expression Language)
- Building Chatbots With Conversation History Using Langchain
- Conversational Q&A Chatbot With Message History
- End To End Q&A Chatbot GEN AI App With
- RAG Document Q&A With GROQ API And LLama
- Conversational Q&A Chatbot- Chat With Pdf Along With Chat History
- Search Engine With Langchain Tools And Agents
- Gen AI Project-Chat With SQL DB With Langchain SQL Toolkit and Agentype
- Text Summarization With Langchain
- Gen AI Projects- Youtube Video And Website Url Content Summarization
- Text To Math Problem Solver Using Google Gemma
- Huggingface And Langchain Integration
- Pdf Query RAG With Langchain And AstraDB
- MultiLanguage Code Assistant Using CodeLama
- Deployment Of Gen AI Apps In Streamlit and Huggingspace
- Generative AI With AWS(Bonus)
- Getting Started With Nvidia NIM and Langchain
- Creating Multi AI Agents Using CrewAI For Real World Usecases
- Hybrid Search RAG With Vector Database And Langchain
- Introduction To Graph Databases And Cypher Query Language With Langchain
- Practical Implementation With Graphdb With Langchain
- Detailed Intuition and Implementation Of Finetuning LLM Models
- End To End finetuning LLM Models With Lamini Platform
- Building Stateful, Multi-Actor Applications Using LangGraph
