Advanced Certification Program in AI Engineering
Software Engineers & Senior Developers, AI / ML Engineers transitioning to GenAI & Agentic AI, Backend / Full-Stack Engineers building AI-powered applications, Cloud & Platform Engineers integrating AI into production systems
A 10-week, hands-on certification focused on building, deploying, and operationalizing real-world AI and agentic applications using Python, GenAI, RAG, multi-agent systems, and LLMOps.
Advanced Certification Program in AI Engineering
Software Engineers & Senior Developers, AI / ML Engineers transitioning to GenAI & Agentic AI, Backend / Full-Stack Engineers building AI-powered applications, Cloud & Platform Engineers integrating AI into production systems
A 10-week, hands-on certification focused on building, deploying, and operationalizing real-world AI and agentic applications using Python, GenAI, RAG, multi-agent systems, and LLMOps.
Advanced Certification Program in AI Engineering
Duration
10 Weeks
Mode
Live Online or Hybrid
Commitment
3–4 hours per week
Delivery
Practitioner-led sessions, labs, and capstone
Certification
Humaine Certified AI Engineer
Prerequisite
Basic programming knowledge (Python preferred)
Why This Program
Move beyond demos to production-grade AI. Learn how to design, evaluate, secure, and deploy scalable agentic AI systems that enterprises can trust and adopt.
Why This Program
Move beyond demos to production-grade AI. Learn how to design, evaluate, secure, and deploy scalable agentic AI systems that enterprises can trust and adopt.
Who It's For
Senior technology and consulting professionals responsible for driving AI adoption across teams or clients. Ideal for:
Software Engineer
AI Application Engineer
Machine Learning Engineer
Backend Engineer
Full Stack Developer
Cloud Engineer
Platform Engineer
Technical Lead (AI/ML)
Who It's For
Senior technology and consulting professionals responsible for driving AI adoption across teams or clients. Ideal for:
Software Engineer
AI Application Engineer
Machine Learning Engineer
Backend Engineer
Full Stack Developer
Cloud Engineer
Platform Engineer
Technical Lead (AI/ML)
Learning Outcomes.
01
Build Strong AI Application Foundations
02
Design and Engineer Agentic AI Systems
03
Deliver Production-Ready, Enterprise-Grade AI
Learning Outcomes.
01
Build Strong AI Application Foundations
02
Design and Engineer Agentic AI Systems
03
Deliver Production-Ready, Enterprise-Grade AI
Tools & tech you'll use
DotKonnekt Studio
GenAI Execution Framework
LangChain
OpenAI APIs
Evaluation & Guardrail Systems
Model Context Protocol
Tools & tech you'll use
DotKonnekt Studio
GenAI Execution Framework
LangChain
OpenAI APIs
Evaluation & Guardrail Systems
Model Context Protocol
Format & assessment
Hybrid learning with workshops, guided labs, and strategy presentations reviewed by DotKonnekt architects.
Graduates earn the Humaine Certified Enterprise AI Leader credential.
Format & assessment
Hybrid learning with workshops, guided labs, and strategy presentations reviewed by DotKonnekt architects.
Graduates earn the Humaine Certified Enterprise AI Leader credential.
Modules
Phase 1: Foundations of AI Application Engineering
Week 1: Python Foundations for AI
Week 2: AI, ML, DL & Generative AI Foundations
Phase 2: Building Intelligent & Agentic AI Systems
Week 3: Agentic AI Fundamentals
Week 4: Knowledge Bases & Grounding
Week 5: Agentic Workflows & Multi-Agent Systems
Week 6: Prompt Engineering & Context Management
Phase 3: Production, Scale & Enterprise Readiness
Week 7: Operationalizing Agentic Applications
Week 8: Enterprise Integration & LLMOps
Weeks 9–10: Capstone Project
Modules
Phase 1: Foundations of AI Application Engineering
Week 1: Python Foundations for AI
Week 2: AI, ML, DL & Generative AI Foundations
Phase 2: Building Intelligent & Agentic AI Systems
Week 3: Agentic AI Fundamentals
Week 4: Knowledge Bases & Grounding
Week 5: Agentic Workflows & Multi-Agent Systems
Week 6: Prompt Engineering & Context Management
Phase 3: Production, Scale & Enterprise Readiness
Week 7: Operationalizing Agentic Applications
Week 8: Enterprise Integration & LLMOps
Weeks 9–10: Capstone Project
Advanced Certification Program in AI Engineering
Duration
10 Weeks
Mode
Live Online or Hybrid
Commitment
3–4 hours per week
Delivery
Practitioner-led sessions, labs, and capstone
Certification
Humaine Certified AI Engineer
Prerequisite
Basic programming knowledge (Python preferred)