Advanced AI engineers and platform teams
Frontier AI Engineering Track
Systems, fine-tuning, autonomous agents, multimodal engineering, and infrastructure for frontier AI engineering careers.
5
15
40
Included certificates
Review the courses in this career track before continuing to checkout.
Certified AI Systems Developer
Build end-to-end AI systems with agents, pipelines, orchestration, LangChain, Ray, Kubernetes, and vector databases.
End-to-End AI System Architecture
3 lessons
Orchestration and Runtime
3 lessons
Production Reliability
2 lessons
Certified AI Fine-Tuning & Reinforcement Learning Expert
Master RLHF, LoRA, DPO, reward modeling, dataset design, evaluation, and deployment discipline for adapted models.
Adaptation Foundations
3 lessons
Preference Optimization
3 lessons
Training Operations
2 lessons
Certified Autonomous AI Agents Architect
Design production-grade autonomous and multi-agent systems with tool use, memory, planning, evaluation, and human control.
Agent Foundations
3 lessons
Multi-Agent System Design
3 lessons
Agent Production Operations
2 lessons
Certified Multimodal AI Engineer
Build vision, text, audio, diffusion, and LLM pipelines for real-world multimodal applications.
Multimodal Foundations
3 lessons
Multimodal Pipeline Design
3 lessons
Multimodal Production Operations
2 lessons
Certified AI Infrastructure & Scaling Engineer
Serve models reliably with inference optimization, GPU scheduling, model gateways, observability, and capacity planning.
Model Serving Foundations
3 lessons
GPU and Inference Optimization
3 lessons
Platform Operations
2 lessons