Career Track
AI Integration Engineer
Build the connective layer between modern AI models, existing software systems, organizational data, tools, and end users.
Learning roadmap
Skills build in sequence.
Skill course
◷ 14 HoursSoftware Engineering Fundamentals
Build maintainable software with the engineering practices production AI systems depend on.
Skill course
◷ 15 HoursPython Foundations for Software & AI Engineering
Develop reliable Python programs for backend services and AI applications.
Skill course
◷ 10 HoursAdvanced Python For AI
Use production-grade Python patterns for concurrent, data-intensive AI workloads.
Skill course
◷ 25 Hours + 6 HoursBackend & API Engineering
Create secure APIs and backend services that connect AI to real products.
Skill course
◷ 15 Hours + 6 HoursLLM, Multimodal & Generative AI Foundations
Understand and integrate the model capabilities behind modern generative AI products.
Skill course
◷ 6 HoursPrompt Engineering Fundamentals
Design reliable instructions, context, examples, and outputs for model-powered software.
Skill course
◷ 30 Hours + 12 HoursRAG, Agentic AI & Context Engineering
Ground models in organizational knowledge and connect them safely to tools and workflows.
Skill course
◷ 12 Hours + 5 HoursProduction AI Engineering & LLMOps
Deploy, evaluate, observe, secure, and improve AI systems in production.
Projects + certification
Prove you can do the work
Complete 8 reviewed projects and earn the AI Integration Engineer certification.
Frequently asked
What do I earn?
Graduates earn a verifiable Career Track certification after completing the required Skill Courses and reviewed portfolio projects.
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