External: Coursera Courses ↗ · Coursera

Open Course on External: Coursera

Free to audit · Opens on External: Coursera

Introduction to Gemini Enterprise

Coursera · Beginner ·🧠 Large Language Models ·3mo ago

Skills: LLM Foundations70%AI Pair Programming60%

Key Takeaways

Introduces Gemini Enterprise for AI-powered enterprise search and data access

Original Description

This course introduces Gemini Enterprise, a powerful platform that brings together AI agents, enterprise search, NotebookLM, and intelligent data access to solve organizational challenges. Through real-world examples and hands-on exploration, learners will be able to connect Gemini Enterprise capabilities to real business needs, describe its architecture, and explain how it handles data access and privacy across roles.

Watch on External: Coursera ↗ (saves to browser)

Sign in to unlock AI tutor explanation · ⚡30

More on: LLM Foundations

View skill →

Getting Started with Vertex AI Gemini 1.5 Flash

I TRAINED AN AI TO SOLVE 2+2 (w/ Live Coding)

I TRAINED AN AI TO SOLVE 2+2 (w/ Live Coding)

Open Assistant Live Coding (Open-Source ChatGPT Replication)

Open Assistant Live Coding (Open-Source ChatGPT Replication)

How To Create A Chatbot Using Python In 5 Minutes | Build Chatbot With Python | Simplilearn

How To Create A Chatbot Using Python In 5 Minutes | Build Chatbot With Python | Simplilearn

How to use the ChatGPT API with Python!!

How to use the ChatGPT API with Python!!

Nicholas Renotte

Gemini 2.5: Create an interactive plot of economic data

Gemini 2.5: Create an interactive plot of economic data

Google DeepMind

Related Reads

Construindo um assistente pessoal 100% local com Ollama, LangChain e voz — e as armadilhas que ninguém conta

Build a 100% local personal assistant using Ollama, LangChain, and voice capabilities, while avoiding common pitfalls of small LLMs

FutureX · Physical AI Daily — Issue 61 (07/18)

Learn about the latest developments in physical AI, including embodied intelligence, humanoid robots, and robotaxi fleets, and how they are being integrated into the physical world

Moving Beyond the Prompt

Learn to move beyond basic prompts in LLMs by utilizing context, embeddings, and semantic search to improve model performance and efficiency

Moonshot’s Kimi K3 sends AI and semiconductor stocks into a tailspin Moonshot’s Kimi K3 sends AI and semiconductor stocks into a tailspin. China's largest open-weight AI model revives DeepSeek-era fears about the economics of US infrastructure spending.

Moonshot's Kimi K3 AI model sparks concerns about US infrastructure spending and sends AI and semiconductor stocks downward, reviving DeepSeek-era fears.

Reddit r/artificial

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

Dave Ebbelaar (LLM Eng)