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Learn Large Language Models (LLMs) with Python and LangChain

Name: Learn Large Language Models (LLMs) with Python and LangChain
Price: 199.99 USD
Availability: InStock

About this course

Unlock the power of Large Language Models (LLMs) and bring cutting-edge AI to your projects! This beginner-friendly yet comprehensive course takes you deep into the world of transformer-based models — from foundational architectures like BERT and RoBERTa, to generative giants like GPT and Meta’s LLaMA.But we don’t stop there.You’ll also explore Retrieval-Augmented Generation (RAG) — one of the most powerful methods to enhance LLMs with real-time, context-aware information retrieval. Learn how RAG bridges the gap between static models and dynamic, knowledge-grounded generation — perfect for applications like chatbots, enterprise search, and AI assistants.Whether you're a beginner Python developer or someone curious about how LLMs really work, this course will give you the theory, hands-on skills, and real-world insights to work confidently with modern AI tools.What You’ll LearnSection 1 - Transformersword embeddingspositional embeddings and encodingself-attention mechanismmaskingmulti-head architecturehow to train a transformer architecturetransformer architectures: GPT, BERT and LLaMASection 2 - Encoder-Only ArchitecturesBERT fundamentalspre-training and fine-tuning the modelthe [CLS] tokenBERT and RoBERTasentiment analysis, text classification and question answering with BERTSection 3 - Decoder-Only ArchitecturesGPT and LLaMA fundamentalsreinforcement learning from human feedback (RLHF)fine-tuning decoder-only architecturesLoRA and QLoRA

63/100

CourseAsk score

What the provider tells you: 39/45
Who stands behind it: 8/35
How complete the listing is: 16/20

Scores how much the provider publishes and who stands behind it — not how well it is taught.

What you'll learn

understand transformer architectures including BERT, GPT, and LLaMA
apply BERT for sentiment analysis, text classification, and question answering
implement RAG for real-time information retrieval
fine-tune and train LLMs using reinforcement learning from human feedback

Course objectives

build foundational knowledge of large language models
gain practical skills in Python programming for AI applications
learn to create and deploy AI-driven applications like chatbots

Artificial Intelligence Deep Learning #reinforcement learning #deep learning #python #machine learning #large language models #gpt #sentiment analysis #natural language processing #rag #information retrieval #ai chatbots #text classification #model fine-tuning #bert #llama #transformer models

$199.99

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