Course curriculum
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1
Module 1: Introduction to Large Language Models
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2
Module 2: Core LLM Technologies
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3
Module 3: Advanced LLM Techniques
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4
Module 4: Computer Vision
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5
Module 5: Audio/Video Coding
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6
Module 6: LLM Frameworks and Tools
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7
Module 7: Practical Projects
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8
Module 8: Deployment and MLOps
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9
Study Material
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LLM Overview Evolution of LLMs Capabilities and Limitations of LLMs Applications and use cases of LLMs -
Tokenization, Vectors and Embeddings Attention Mechanism and its variants Introduction to Transformer Architecture Creating Custom Language Models Transfer Learning in NLP Evaluation Metrics for LLMs: BLEU, ROUGE, Perplexity Introduction to Hugging Face Transformers library Overview of llama2 and Gemma Fine Tuning Gemma Model -
Overview of popular LLMs: GPT-3/4, BERT, T5 Fine-tuning pre-trained models for specific tasks BERT and its variants: RoBERTa, DistilBERT GPT and its applications in text generation Exploring other models: T5, XLNet, ELECTRA Building conversational agents and chatbots - Part 1 Building conversational agents and chatbots - Part 2 Creative applications: text generation, storytelling - Part 1 Creative applications: text generation, storytelling - Part 2 Ethical considerations and bias mitigation in LLMs -
CNN from Scratch CNN using Tensorflow -
Basics of audio signal processing Feature extraction: MFCCs, Spectrograms - Part 1 Feature extraction: MFCCs, Spectrograms - Part 2 Audio classification and speech recognition - Part 1 Audio classification and speech recognition - Part 2 Basics of video signal processing Frame extraction and video feature analysis - Part 1 Frame extraction and video feature analysis - Part 2 -
LangChain - Langchain for Conversational AI Applications LangChain - Deploying Language Model APIs with Langchain LangChain - Langchain for RAG Workflows Ollama - Overview of Ollama for conversational AI Ollama - Developing and deploying conversational agents with Ollama -
Project 1: Text Classification Model Bert_text_classification Bert_text_classification_app Data preparation and preprocessing Text Generation Model Project 2- Text Generation Model Evaluation and fine-tuning Evaluation and fine-tuning Project3 - Designing a conversational agent architecture ConversationalAgent ConversationalAgent_App Conversational_agent_openAI Conversational_agent_openAI_app ConversationalAgent_LangChain ConversationalAgent_Ollama ConversationalAgent_HuggingFace -
Introduction to MLOps concepts and practices Continuous Integration and Continuous Deployment Monitoring model performance in production Handling model drift and retraining Automated model testing and validation Optimizing LLMs for scalability and performance Distributed training and inference -
Study Material
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