Accelerate App Development with Gemini CLI

External: Coursera Courses ↗ · Coursera

Open Course on External: Coursera

Free to audit · Opens on External: Coursera

Accelerate App Development with Gemini CLI

Coursera · Intermediate ·🧠 Large Language Models ·2mo ago
This course is designed for app developers and DevOps engineers who want to work smarter by using Gemini CLI, a generative AI agent made for the terminal and powered by Gemini. This course discusses Gemini CLI installation and configuration, and introduces use cases and security best practices. It explains commands, tools, MCP servers, and extensions. With a hands-on exercise, you'll install and configure Gemini CLI and use it to analyze code and build and modify an app.
Watch on External: Coursera ↗ (saves to browser)
Sign in to unlock AI tutor explanation · ⚡30

Related AI Lessons

LLM Context Window Management: Strategies and Patterns
Learn strategies for managing LLM context windows to prevent app crashes and cost overruns
Dev.to · Ayi NEDJIMI
Production-Ready Ollama: Deploying GGUF LLMs on CPU-Only Ubuntu 24.04 Servers
Learn to deploy GGUF LLMs on CPU-only Ubuntu 24.04 servers for production-ready Ollama, leveraging cost-effective local infrastructure
Dev.to AI
What AI’s “Recursive Self-Improvement” Actually Means
Learn about AI's recursive self-improvement and its implications, with a unique analogy to Robot Wars
Medium · AI
Spring AI, RAG, Embeddings, Advisors and Tool Calling
Learn how to integrate AI models into Java applications using Spring AI, and understand its benefits and applications in RAG, embeddings, and tool calling.
Medium · RAG
Up next
5 Levels of AI Agents - From Simple LLM Calls to Multi-Agent Systems
Dave Ebbelaar (LLM Eng)
Watch →