Coursera Courses ↗ · Coursera

Open Course on Coursera

Free to audit · Opens on Coursera

Build an LLM and RAG-based Chat Application using AlloyDB and LangChain

Coursera · Intermediate ·🧠 Large Language Models ·1mo ago

Skills: LLM Engineering90%RAG Basics85%

This is a self-paced lab that takes place in the Google Cloud console. Learn how to create an interactive application within a deployed environment.

Watch on Coursera ↗ (saves to browser)

Sign in to unlock AI tutor explanation · ⚡30

More on: LLM Engineering

View skill →

FULLY LOCAL Mistral AI PDF Processing [Hands-on Tutorial]

FULLY LOCAL Mistral AI PDF Processing [Hands-on Tutorial]

Coding a Multimodal (Vision) Language Model from scratch in PyTorch with full explanation

Coding a Multimodal (Vision) Language Model from scratch in PyTorch with full explanation

Ultimate Guide: Deploy Google ADK Agents to Vertex AI & Cloud Run (Step-by-Step Tutorial)

Ultimate Guide: Deploy Google ADK Agents to Vertex AI & Cloud Run (Step-by-Step Tutorial)

Shane | LLM Implementation

How to Make an Asteroids Game Bot (LIVE)

How to Make an Asteroids Game Bot (LIVE)

Using Claude Code + Nano Banana Pro To Create a Dataset of Engineering Drawings

Using Claude Code + Nano Banana Pro To Create a Dataset of Engineering Drawings

Automata Learning Lab

Advanced AI and Machine Learning Techniques and Capstone

Advanced AI and Machine Learning Techniques and Capstone

Related AI Lessons

Are you HARNESSING the best out of the LLM?

Optimize LLM performance by fine-tuning and prompt engineering, rather than just upgrading to larger models

Running AI Models Locally with Ollama Completely Changed My AI Journey

Run AI models locally with Ollama to streamline your AI workflow and increase productivity

LLM Eval Workflow: How to Build Reliable AI Quality Gates Without Vibes

Learn to build reliable AI quality gates for LLMs with a practical evaluation workflow

Snowflake Cortex Is Cool. I Built My Own in an Afternoon.

Replicate Snowflake Cortex using Postgres, Python, and a local LLaMA model for free

5 Levels of AI Agents - From Simple LLM Calls to Multi-Agent Systems

Dave Ebbelaar (LLM Eng)