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Three programs are open for enrollment today. See how much coding each one involves, how long it takes, what it costs and where it can take your career.

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CEAAP™Open
Certified Enterprise AI Architect & Agentic Systems Professional (CEAAP™)
See program
AIGSA™Open
Certified AI Governance, Security & Assurance Professional (AIGSA™)
See program
CAIE™Open
Certified AI Engineer (CAIE™): Agents, RAG & LLM Systems
See program
Who it’s forExperienced software, cloud and platform engineers who want to design and lead enterprise agentic AI platforms.Risk, compliance, audit, security, legal and IT professionals who want to govern, secure and assure AI.Developers, data analysts, students and builders who want to write the code behind AI products: LLM apps, RAG and agents.
How much coding
Heavy

Architecture-led but code-first: you assemble a production agent platform (the agent factory) on AWS.

Light

No programming background needed. Governance-as-code means reading and editing policy files, not building software.

Heavy

Our most code-heavy program. You write Python every week and build one system in one repository.

PrerequisitesComfortable reading and writing code. Cloud or production engineering experience is expected.No coding required. Experience in risk, security, compliance or IT helps.Some programming experience helps. Week 1 brings your Python up to speed for AI engineering.
People usually start asSenior software or cloud engineerRisk, security or compliance professionalSoftware developer or data analyst
Duration10 Weeks Intensive / 40 Modules
40 modules in the curriculum
10 Weeks · 30 Learning Days
10 weeks in the curriculum
10 Weeks / 120 Activities
10 weeks in the curriculum
FormatOnline Live Cohort & Hands-On Engineering LabsOnline Live Cohort & Hands-On LabsOnline, self-paced with live Q&A
What’s included
  • Narrated video lessons
  • Agent-factory project repository with code walkthroughs in every module
  • 40 quizzes, one per module
  • Final exam: 20 questions, 60 min, pass with 14/20
  • Capstone: Enterprise Multi-Agent Platform & Advanced RAG System Design
  • Certificate when you pass
  • Narrated video lessons
  • Light governance-as-code project (policy and control files in YAML)
  • 10 quizzes, one per week
  • Final exam: 20 questions, 60 min, pass with 14/20
  • Capstone: Enterprise AI Governance, Security & Assurance Framework
  • Certificate when you pass
  • Narrated video lessons
  • Code walkthroughs in every activity, building the MapleDesk project file by file
  • 10 quizzes, one per week
  • Final exam: 20 questions, 60 min, pass with 14/20
  • Capstone: MapleDesk: an enterprise AI assistant
  • Certificate when you pass
Price
$1,950 USD$2,950
$1,799 USD$4,999
$999 USD
Typical salary
$150K–$230K CAD in Canada
$180K–$310K USD in the US
Very high demand
$110K–$175K CAD in Canada
$135K–$195K USD in the US
Growing demand
$90K–$160K CAD in Canada
$120K–$190K USD in the US
Very high demand
Roles it leads to
Enterprise AI ArchitectPrincipal AI ArchitectLead Agentic Systems EngineerStaff AI Systems EngineerHead of AI EngineeringEnterprise Solution Architect
AI Governance & Assurance LeadAI Risk & Security ManagerResponsible AI LeadAI Governance LeadAI Risk & Assurance ManagerResponsible AI Officer
AI EngineerMachine Learning EngineerApplied AI DeveloperLLM EngineerAI Agent DeveloperMachine Learning Engineer (GenAI)

Estimates from 2025–26 job postings (base salary). Typical ranges, not a guarantee: pay depends on your experience, city, employer and the job market. Prices are tuition in US dollars.

3 quick questions

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How much do you code today?