Overview
Includes Working on AWS Console, IDE, Slack Integration, CLI | AWS Certified AI Practitioner | Optimise code on clicks
Syllabus
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- Introduction to Amazon Q Developer
-- Overview of AI-Powered Coding
-- Importance in AWS Ecosystems
-- Course Objectives and Outcomes
- Fundamentals of Artificial Intelligence
-- Core AI Concepts
-- Machine Learning Essentials
-- Overview of Generative AI (GenAI)
- Overview of AWS Ecosystems
-- Key AWS Services and Tools
-- Cloud Infrastructure Basics
-- Integration of AI with AWS
- Getting Started with Amazon Q Developer
-- Installation and Setup
-- Basic Navigation and Features
-- Understanding the Q Console
- Mastering AI-Powered Coding with Amazon Q
-- AI-Driven Code Assistance
-- Code Generation Techniques
-- Debugging and Efficiency Optimization
- Practical Applications of Amazon Q Developer
-- Real-World Use Cases
-- Project Development in AWS
-- Utilization in Data Analysis and Processing
- Advanced Amazon Q Developer Features
-- Customization and Extension
-- Integrating Other AWS AI Services
-- Security and Compliance in AI Projects
- Collaborative Development with Your CoPilot
-- Using Amazon Q for Team Projects
-- Workflow Optimization
-- Best Practices for Collaborative AI Development
- Future Trends and Innovations
-- AI Evolution in AWS Ecosystems
-- Industry Trends and Future Applications
-- Preparing for AI Advancements
- Conclusion and Resources
-- Course Summary
-- Additional Learning Resources
-- Certification and Further Opportunities
Taught by
Tags
On-Demand
