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generative ai agentic
OpenAI ChatGPT Training
★ 4.9 · 1,120 learners · Beginner
Starts 5 Jul 2026 · ~1–2 months
AI Infrastructure Scaling & Governance with MCP
Scale and govern AI systems — MCP protocol, cloud infra, and enterprise AI ops.
For: ML engineers, DevOps professionals, and architects scaling AI in production
4.8 · 310 learners · Advanced ·Starting 9 Aug 2026
Batch Schedule
| Batch Type | Schedule | Duration | Next Start Date | Availability |
|---|---|---|---|---|
| Weekend | Sat & Sun, 10am–1pm | 9 weeks | 9 Aug 2026 | Available |
Course Curriculum
4 modules · 75 hours · 30 live sessions
AI Infrastructure Design 8 sessions
- LLM serving
- GPU/CPU trade-offs
- Model caching
- Cost modelling
Model Context Protocol (MCP) 10 sessions
- MCP specification
- Server & client implementation
- Tool registration
- Security
Scaling AI Systems 8 sessions
- Horizontal scaling
- vLLM & TGI
- Kubernetes for AI
- Auto-scaling
Governance & Monitoring 4 sessions
- AI observability
- OpenTelemetry
- Policy enforcement
- Audit logging
Tools You'll Learn
MCP Docker Kubernetes AWS Terraform Prometheus OpenTelemetry MLflow
Frequently Asked Questions
Is Kubernetes experience required?
Basic familiarity helps — we cover K8s essentials for AI workloads in Module 3.
Ready to Get Started?
Download the curriculum to see every module, batch dates and fees. Book a free 30-minute session with our advisors to get your questions answered.
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See every module, capstone project, and tool covered — free, instant access.
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30-minute session with our advisors — no commitment required.
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