Premium
Opening Credits
1/26/2025
Preface
1/26/2025
Frequently asked questions
1/26/2025
Python basics
1/26/2025
Python basics syntax essentials
1/26/2025
Python basics control flow loops and conditionals
1/26/2025
Python basics functions fundamentals
1/26/2025
Introduction to oop
1/26/2025
Introduction to oop class definition
1/26/2025
Introduction to oop encapsulation
1/26/2025
Introduction to oop inheritance
1/26/2025
Introduction to oop polymorphism
1/26/2025
Introduction to oop abstraction
1/26/2025
Oop concepts for generative ai
1/26/2025
Numpy essentials
1/26/2025
Numpy essentials array operations
1/26/2025
Numpy essentials indexing and slicing
1/26/2025
Pandas fundamentals
1/26/2025
Pandas fundamentals data structures series and dataframes
1/26/2025
Pandas fundamentals indexing, selecting, and filtering
1/26/2025
Matplotlib essentials
1/26/2025
Matplotlib essentials plotting basics
1/26/2025
Matplotlib essentials customizing plots
1/26/2025
Deploying ai models with flask
1/26/2025
Deploying ai models with flask introduction to flask
1/26/2025
Deploying ai models with flask deploying tensorflow models with flask
1/26/2025
Deploying ai models with fastapi
1/26/2025
Deploying ai models with fastapi introduction to fastapi
1/26/2025
Deploying ai models with fastapi deploying pytorch models with fastapi
1/26/2025
Introduction to natural language processing (nlp)
1/26/2025
Introduction to natural language processing (nlp) what is nlp
1/26/2025
Introduction to natural language processing (nlp) applications of nlp
1/26/2025
Introduction to natural language processing (nlp) nlp's role in generative ai
1/26/2025
Text representation techniques
1/26/2025
Text representation techniques one hot encoding
1/26/2025
Text representation techniques bag of words
1/26/2025
Text representation techniques term frequency inverse document frequency (tf idf)
1/26/2025
Word embeddings
1/26/2025
Word embeddings understanding word2vec
1/26/2025
Word embeddings average word2vec
1/26/2025
Introduction to artificial neural networks
1/26/2025
Introduction to artificial neural networks components of an ann
1/26/2025
Introduction to artificial neural networks forward propagation in anns
1/26/2025
Introduction to artificial neural networks backward propagation in anns
1/26/2025
Deep learning fundamentals
1/26/2025
Deep learning fundamentals activation functions introduction and applications
1/26/2025
Deep learning fundamentals loss functions for generative models
1/26/2025
Deep learning fundamentals optimization techniques adam, sgd, and beyond
1/26/2025
Recurrent neural networks (rnns) fundamentals
1/26/2025
Recurrent neural networks (rnns) fundamentals long short term memory (lstm)
1/26/2025
Recurrent neural networks (rnns) fundamentals gated recurrent units (gru)
1/26/2025
Recurrent neural networks (rnns) fundamentals bidirectional lstms
1/26/2025
Introduction to seq2seq models
1/26/2025
Introduction to seq2seq models encoder decoder architectures
1/26/2025
Introduction to seq2seq models attention mechanisms in seq2seq models
1/26/2025
Introduction to seq2seq models seq2seq model applications
1/26/2025
Introduction to transformers
1/26/2025
Introduction to transformers background on self attention mechanism
1/26/2025
Introduction to transformers transformer architecture overview
1/26/2025
Exploring gpt 4
1/26/2025
Exploring gpt 4 gpt 4 architecture and training data
1/26/2025
Exploring gpt 4 real world applications of gpt 4
1/26/2025
Llama a new era in large language models
1/26/2025
Llama a new era in large language models llama's unique features and capabilities
1/26/2025
Llama a new era in large language models use cases for llama applications and implications
1/26/2025
Hugging face models a comprehensive guide
1/26/2025
Hugging face models a comprehensive guide understanding hugging face models architecture and training data
1/26/2025
Hugging face models a comprehensive guide practical applications of hugging face models
1/26/2025
Introduction
1/26/2025
Introduction what is langchain
1/26/2025
Introduction chaining llms with external tools
1/26/2025
Langchain fundamentals
1/26/2025
Langchain fundamentals architecture overview
1/26/2025
Langchain fundamentals design principles and key components
1/26/2025
Chaining llms with external tools for nlp tasks
1/26/2025
Chaining llms with external tools for nlp tasks text classification
1/26/2025
Chaining llms with external tools for nlp tasks sentiment analysis
1/26/2025
Real world applications and use cases
1/26/2025
Real world applications and use cases customer service chatbots
1/26/2025
Real world applications and use cases content generation and marketing
1/26/2025
Exploring google gemini
1/26/2025
Exploring google gemini understanding gemini architecture
1/26/2025
Exploring google gemini gemini use cases
1/26/2025
Exploring chainlit models
1/26/2025
Exploring chainlit models chainlit architecture overview
1/26/2025
Exploring chainlit models chainlit applications in nlp
1/26/2025
Vector databases overview
1/26/2025
Vector databases overview chromadb
1/26/2025
Vector databases overview faiss (facebook ai similarity search)
1/26/2025
Vector databases overview lancedb
1/26/2025
Vector databases overview cassandradb a vector database for big data
1/26/2025
Optimizing vector search
1/26/2025
Optimizing vector search anchored indexing
1/26/2025
Optimizing vector search inverted indexing
1/26/2025
Optimizing vector search hnsw indexing
1/26/2025
Integrating vector stores
1/26/2025
Integrating vector stores why vector stores
1/26/2025
Integrating vector stores selecting a vector store
1/26/2025
Integrating vector stores integrating vector stores with llms
1/26/2025
Deploying large language models (llms) with cloud services
1/26/2025
Deploying large language models (llms) with cloud services deploying llms on aws sagemaker
1/26/2025
Deploying large language models (llms) with cloud services deploying llms on azure machine learning
1/26/2025
Deploying large language models (llms) with cloud services deploying llms with hugging face spaces
1/26/2025
Testing llm projects
1/26/2025
Testing llm projects unit testing for llms
1/26/2025
Testing llm projects integration testing for end to end scenarios
1/26/2025
Logging and debugging techniques for llms
1/26/2025
Glossary
1/26/2025
Ending Credits
1/26/2025