Hands On AI Agent Mastery Course
AI Agents RoadmapLearning Outcomes Built 15+ production-ready agents with proper error handling and monitoring Implemented scalable architectures handling concurrent requests and resource management Deployed agent systems with CI/CD pipeline
| Platform |  | Pricing | Freemium | Publishes | Daily |
|---|---|---|---|---|---|
| Issues | 117 | Founded | 10 months ago | Last Issue | 6 days ago |
| Active | |||||
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Lesson 76: Vertical Adaptation Strategies — Data Sourcing
Dont know how to start with AI & ML - You Start from scratch here
Dont know how to start with AI & ML - You Start from scratch here
Lesson 75: Project 5: MLOps Pipeline Automation
Highlights
- What we build: An end-to-end automated MLOps pipeline with a GitHub Actions CI workflow, multi-stage Docker build, Prometheus alerting config, a continuous training (CT) scheduler, and a React dashboard to visualize pipel...
Lesson 74: Hands-On: MLOps Pipeline Deployment
Highlights
Highlights
Lesson 73: A/B Testing & Canary Deployments for Agents
Highlights
Highlights
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| Subscribers | Engagement | 74 | Monthly Web Visits | ||
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AI Agent Roadmap — a structured, hands-on path from LLM fundamentals to deploying production-grade multi-agent systems. Most engineers know AI Agents are coming. Fewer know how to actually build them.
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