Masters in Generative AI

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Last Update October 5, 2024

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Curriculum

15 Lessons

Introduction to Gen AI & Huggingface transformers platform

Orientation Session(Introduction to Gen AI)00:00

Introduction to AI, Hype vs. Reality, Business Applications, Ethical Considerations, Introduction to Generative AI, From Text Generation to Multimodal Models, Potential and Challenges00:00

Introduction to open source Huggingface transformers platform, Review of NLP Basics & Text Pre-processing, Introduction to NLP Concepts: Language Representations, Tokenization, Part-of-Speech Tagging, Text Preprocessing00:00

Feature Engineering: Normalization, Stemming, Lemmatization, Stop Word Removal, Understanding key NLP Applications using Huggingface platform00:00

Sentiment analysis, Sentence classification, Generating text, Extracting an answer from text00:00

Quiz 01: Introduction to Generative AI, Hugging Face Transformers, and Key NLP Applications

Language Models and Transformer Models

Large Language Models (LLMs)

Langchain, AI Application Stack and Ethical Considerations

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Masters in Generative AI

Curriculum

Introduction to Gen AI & Huggingface transformers platform

Orientation Session(Introduction to Gen AI)00:00

Introduction to AI, Hype vs. Reality, Business Applications, Ethical Considerations, Introduction to Generative AI, From Text Generation to Multimodal Models, Potential and Challenges00:00

Introduction to open source Huggingface transformers platform, Review of NLP Basics & Text Pre-processing, Introduction to NLP Concepts: Language Representations, Tokenization, Part-of-Speech Tagging, Text Preprocessing00:00

Feature Engineering: Normalization, Stemming, Lemmatization, Stop Word Removal, Understanding key NLP Applications using Huggingface platform00:00

Sentiment analysis, Sentence classification, Generating text, Extracting an answer from text00:00

Quiz 01: Introduction to Generative AI, Hugging Face Transformers, and Key NLP Applications

Language Models and Transformer Models

Understanding language models, Probability-based language models, Unsupervised learning language representations, Introduction to transformer models, What are transformer models00:00

Types of models: encoder –decoder, decoder only, Attention mechanism, Tasks that transformer models can do: translation, text summarization, Q&A, text generation, Zero shot, few shot text classification00:00

Quiz: Introduction to Language Models, LLMs, and Generative Algorithms

Large Language Models (LLMs)

Introduction to Large Language Models (LLMs), – Structure of popular models – Types of Models: text to text, text to image, text to video, multimodal00:00

Other types of Generative AI algorithms, – GANs ( Generative Adverserial Networks), – Variational Autoencoders (VAEs), Diffusion Models, Mixture of Experts, – Diffferent models available currently for image ( DALLE-2, Midjourney)00:00

Hands on practice of NLP tasks using Huggingface library and opensource language models such as Bloom for finetuning a LLM, zero and few shot classification, -Applications of Generative AI in business00:00

– Customer Insights & Sentiment Analysis – Personalized Marketing & Content Creation – Chatbots: Automating Customer Service and Support – Document Processing Automation00:00

Advanced Concepts in LangChain, Generative AI for Data Analytics, and Data Privacy in AI Applications

Langchain, AI Application Stack and Ethical Considerations

Langchain, Applied use case for Gen AI – hands on exercise – Designing a custom chatbot – Data analytics using Gen AI model such as OpenAI API00:00

Project Session00:00

Exploring AI, Generative AI, and NLP Techniques

Your Instructors

skillzrevo

Testing

Data Science B-02

ML & DL Module July (Usha Ma’am)

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Masters in Generative AI

Curriculum

Introduction to Gen AI & Huggingface transformers platform

Orientation Session(Introduction to Gen AI)00:00

Introduction to AI, Hype vs. Reality, Business Applications, Ethical Considerations, Introduction to Generative AI, From Text Generation to Multimodal Models, Potential and Challenges00:00

Introduction to open source Huggingface transformers platform, Review of NLP Basics & Text Pre-processing, Introduction to NLP Concepts: Language Representations, Tokenization, Part-of-Speech Tagging, Text Preprocessing00:00

Feature Engineering: Normalization, Stemming, Lemmatization, Stop Word Removal, Understanding key NLP Applications using Huggingface platform00:00

Sentiment analysis, Sentence classification, Generating text, Extracting an answer from text00:00

Quiz 01: Introduction to Generative AI, Hugging Face Transformers, and Key NLP Applications

Language Models and Transformer Models

Understanding language models, Probability-based language models, Unsupervised learning language representations, Introduction to transformer models, What are transformer models00:00

Types of models: encoder –decoder, decoder only, Attention mechanism, Tasks that transformer models can do: translation, text summarization, Q&A, text generation, Zero shot, few shot text classification00:00

Quiz: Introduction to Language Models, LLMs, and Generative Algorithms

Large Language Models (LLMs)

Introduction to Large Language Models (LLMs), – Structure of popular models – Types of Models: text to text, text to image, text to video, multimodal00:00

Other types of Generative AI algorithms, – GANs ( Generative Adverserial Networks), – Variational Autoencoders (VAEs), Diffusion Models, Mixture of Experts, – Diffferent models available currently for image ( DALLE-2, Midjourney)00:00

Hands on practice of NLP tasks using Huggingface library and opensource language models such as Bloom for finetuning a LLM, zero and few shot classification, -Applications of Generative AI in business00:00

– Customer Insights & Sentiment Analysis – Personalized Marketing & Content Creation – Chatbots: Automating Customer Service and Support – Document Processing Automation00:00

Advanced Concepts in LangChain, Generative AI for Data Analytics, and Data Privacy in AI Applications

Langchain, AI Application Stack and Ethical Considerations

Langchain, Applied use case for Gen AI – hands on exercise – Designing a custom chatbot – Data analytics using Gen AI model such as OpenAI API00:00

Project Session00:00

Exploring AI, Generative AI, and NLP Techniques

Your Instructors

skillzrevo

Testing

Data Science B-02

ML & DL Module July (Usha Ma’am)

Follow US!

Company

Work with us

Discover

For Businesses

Our Popular Courses

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