Descriptions
AI Tooling Specialization, This specialization is designed to help you build and deploy production AI systems. You will master 20 courses covering a wide range of topics including foundation models, prompt engineering, AI security, multi-modal AI, and agentic architectures. The curriculum focuses on practical, hands-on skills, guiding you through building real-world applications such as SaaS products with AI, conversational bots, and automated code review systems. You will learn to work with leading platforms and tools like AWS Bedrock, Amazon Q, GitHub Actions, and various local and cloud-based AI models.
The program delves into advanced concepts such as deterministic LLM programming, building MCP agents, and implementing AI-powered analytics and performance engineering. You will also explore crucial aspects like LLM security vulnerabilities, privacy-conscious development, and AI governance on AWS. The specialization culminates in a capstone project where you will build serverless multi-model systems, solidifying your ability to orchestrate, debug, and secure complex AI solutions from development to production.
What you’ll learn
- Build and deploy production-ready AI systems.
- Master foundation models, prompt engineering, and AI security.
- Develop multi-modal and agentic AI architectures.
- Implement AI-powered analytics, performance engineering, and AIOps.
- Automate workflows using tools like Amazon Q, GitHub Actions, and CloudShell.
- Build and secure serverless multi-model systems in a capstone project.
Who this course is for
- Aspiring AI engineers and developers.
- Software engineers looking to specialize in production AI systems.
- DevOps and AIOps professionals seeking to integrate AI tooling.
- Individuals interested in mastering generative AI, from foundation models to agentic systems.
- Professionals aiming to learn AI application development on cloud platforms like AWS.
Specificatoin of AI Tooling Specialization
- Publisher : Coursera
- Teacher : Noah Gift
- Language : English
- Level : Beginner
- Number of Course : 20
- Duration : 5 months to complete at 5 hours a week
Content of AI Tooling Specialization
Requirements
- Basic programming experience in Python or any language; familiarity with command-line tools and version control helpful but not required
Pictures
Sample Clip
Installation Guide
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Subtitle : English
Quality: 720p
Download Links
Course 1 – LLM Security and Vulnerabilities
Course 2 – CLI Automation with Amazon Q and CloudShell
Course 3 – AI-Powered Analytics and Performance Engineering
Course 4 – Deterministic LLM programming
Course 5 – Building deterministic MCP Agents
Course 6 – Enterprise AIOps with Amazon Q Business
Course 7 – Multi-modal AI
Course 8 – Prompt Architecture and NLP on Amazon Bedrock
Course 9 – Privacy-Conscious Development with AI Assistants
Course 10 – Agentic AI: Actor Models and Subagent Architecture
Course 11 – Build a Production SaaS Application with AI
Course 12 – AI Tooling Capstone: Serverless Multi-Model Systems
Course 13 – AI Debugging and Test-Driven fixes
Course 14 – AI Orchestration: From local models to cloud
Course 15 – AI Security and Governance on AWS
Course 16 – AWS Generative AI and Foundation Models
Course 17 – AWS Intelligent Applications with Amazon Bedrock
Course 18 – AI Code Review Automation with GitHub Actions
Course 19 – Conversational Bot Architecture with Rust and Deno
Course 20 – AI-Powered Data Pipelines with Deno
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8.05 GB
