AFA-100.01 · AI Foundations & Productivity
AI Literacy & Modern AI Foundations
Build a practical mental model of modern AI, including generative models, multimodal systems, agents and the limits that matter in real work.
Ask about AFA-100.01 ↗Atkinson Academy / 2026 complete course catalogue
58 courses. Nine disciplines. Your learning journey.
From practical AI literacy to agents, Microsoft Copilot, sovereign compute, governance, creative production, robotics and advanced architecture.
Live instructor-led modules, blended options, specialist labs and private organization cohorts. Every course listed below comes from the Atkinson Academy 2026 Course Catalogue & Pricing.
58 modular courses9 curriculum families2-hour standard public modulesPrivate cohorts available
Course finder
Find the right course.
Showing all 58 courses
AFA-100.02 · AI Foundations & Productivity
Generative AI Productivity Quickstart
Use generative AI to improve everyday knowledge work while preserving human judgement, confidentiality and accountability.
Ask about AFA-100.02 ↗AFA-100.03 · AI Foundations & Productivity
Prompt Engineering & Structured Outputs
Move beyond clever prompts and learn repeatable methods for giving AI clear context, instructions, examples, constraints and output schemas.
Prerequisites & enquiry
Prerequisites: AI Literacy & Modern AI Foundations recommended
AFA-100.04 · AI Foundations & Productivity
AI Research, Verification & Source Discipline
Learn how to use AI as a research partner without confusing fluency with evidence. Practice source checking, triangulation and uncertainty handling.
Ask about AFA-100.04 ↗AFA-100.05 · AI Foundations & Productivity
Full-Stack AI: From Electricity To Intelligence
Follow the complete AI stack from power and compute through models, data, retrieval, agents, interfaces, governance and human outcomes.
Ask about AFA-100.05 ↗AFA-100.06 · AI Foundations & Productivity
AI Use-Case Discovery & Workflow Design
Turn vague enthusiasm for AI into prioritized, measurable use cases by mapping work, friction, information, decisions, controls and outcomes.
Ask about AFA-100.06 ↗AFA-100.07 · AI Foundations & Productivity
AI Adoption Champions & Train-the-Trainer
Create internal AI champions who can teach colleagues, support safe adoption, identify new opportunities and maintain organizational learning.
Ask about AFA-100.07 ↗AFA-100.08 · AI Foundations & Productivity
Living Knowledge & Organizational Intelligence
Explore why information abundance does not automatically create understanding, and how organizations can keep knowledge connected to context, evidence, people and purpose.
Prerequisites & enquiry
Prerequisites: AI Literacy & Modern AI Foundations recommended
AFA-101.01 · Responsible AI & Governance
AI Strategy, Risk & Opportunity For Leaders
An executive-level framework for deciding where AI can create value, where it creates material risk and what leaders must govern directly.
Ask about AFA-101.01 ↗AFA-101.02 · Responsible AI & Governance
Responsible AI For Managers
Give managers practical methods for supervising AI-enabled work, including review, escalation, documentation, accountability and staff guidance.
Ask about AFA-101.02 ↗AFA-201.01 · Responsible AI & Governance
Implementing AI Governance
Build the operating system around responsible AI: inventories, risk tiers, approvals, controls, policies, monitoring and incident response.
Prerequisites & enquiry
Prerequisites: Responsible AI for Managers recommended
AFA-201.02 · Responsible AI & Governance
Government AI Policy, AIA & ATIP Fundamentals
Apply public-sector principles to AI use, including administrative accountability, algorithmic impact assessment, privacy, records and access-to-information requirements.
Prerequisites & enquiry
Prerequisites: Responsible AI for Managers recommended
AFA-201.03 · Responsible AI & Governance
Human-in-the-Loop Governance, Fairness & Accessible AI
Design the boundary between machine action and responsible human judgement while accounting for fairness, accessibility and bilingual/pub communication needs.
Ask about AFA-201.03 ↗AFA-101.03 · Responsible AI & Governance
Cognitive Stewardship For Leaders
Define leadership responsibilities for the continuing quality, context, permissions, evidence and usefulness of AI-assisted organizational kno.
Prerequisites & enquiry
Prerequisites: AI Strategy, Risk & Opportunity for Leaders recommended
AFA-101.04 · Responsible AI & Governance
Animating Intelligence: Human Direction In The AI Era
An accessible introduction to Atkinson Film-Arts' philosophy of Animating Intelligence: AI-assisted work should remain purposeful, bounde understandable and under human authority.
Ask about AFA-101.04 ↗AFA-111.01 · Microsoft 365, Copilot & Information
Microsoft 365 Copilot Readiness & Responsible Adoption
Prepare people, permissions and information before broad Copilot deployment so AI quality is not undermined by poor data hygiene or oversh.
Prerequisites & enquiry
Prerequisites: AI Literacy & Modern AI Foundations recommended
AFA-111.02 · Microsoft 365, Copilot & Information
Copilot For Word, Excel, Powerpoint, Outlook & Teams
Practice high-value Copilot workflows across Microsoft 365 while learning where human verification and source awareness remain essential.
Prerequisites & enquiry
Prerequisites: Microsoft 365 Copilot Readiness recommended
AFA-311.01 · Microsoft 365, Copilot & Information
Sharepoint & Library Governance For Copilot
Improve the information environment beneath Copilot through better libraries, permissions, metadata, lifecycle management and searchability.
Prerequisites & enquiry
Prerequisites: M365 Information Architecture Basics recommended
AFA-311.02 · Microsoft 365, Copilot & Information
M365 Information Architecture Basics
Understand how Teams, SharePoint, OneDrive, permissions, metadata and search combine into an AI-ready organizational knowledge enviro.
Ask about AFA-311.02 ↗AFA-311.03 · Microsoft 365, Copilot & Information
Copilot Studio Quickstart
Create a governed organizational copilot that uses approved knowledge, structured instructions and actions to support a real business workfl.
Ask about AFA-311.03 ↗AFA-311.04 · Microsoft 365, Copilot & Information
Entra ID, Purview & Permissions For AI
Understand identity, authorization, information protection and least-privilege concepts that determine what enterprise AI should be allowed to do.
Prerequisites & enquiry
Prerequisites: M365 Information Architecture Basics recommended
AFA-103.01 · Agents & Automation
Introduction To AI Agents
Understand the difference between a chatbot, assistant, workflow, copilot and agent, and where each pattern makes sense.
Ask about AFA-103.01 ↗AFA-103.02 · Agents & Automation
Building Your First Enterprise Agent
Build a practical agent that can interpret a task, retrieve information, use tools, produce structured results and request human approval.
Ask about AFA-103.02 ↗AFA-203.01 · Agents & Automation
Agentic Workflow Design
Convert a business process into a clear agentic workflow: trigger, interpretation, retrieval, planning, action, validation, approval and record.
Ask about AFA-203.01 ↗AFA-203.02 · Agents & Automation
Tool Use, APIs & Business Actions
Teach agents to do useful work through APIs, connectors and business systems without granting uncontrolled access.
Prerequisites & enquiry
Prerequisites: Building Your First Enterprise Agent
AFA-203.03 · Agents & Automation
Multi-Agent Systems & Orchestration
Design systems in which specialized agents cooperate under explicit orchestration rather than duplicating work or creating uncontrolled comp.
Prerequisites & enquiry
Prerequisites: Building Your First Enterprise Agent
AFA-203.04 · Agents & Automation
Human-Supervised Agents & Approval Gates
Create agents that pause, explain, request authorization and escalate when risk exceeds their operating authority.
Ask about AFA-203.04 ↗AFA-203.05 · Agents & Automation
Agent Memory, State & Organizational Context
Understand short-term state, durable memory, user preferences, organizational context and the privacy implications of remembering informat.
Prerequisites & enquiry
Prerequisites: Building Your First Enterprise Agent
AFA-209.01 · Agents & Automation
Agent Evaluation, Monitoring & Reliability
Move agents from demos to dependable operations through test suites, observability, cost tracking, groundedness checks and incident handl.
Prerequisites & enquiry
Prerequisites: Building Your First Enterprise Agent
AFA-106.01 · Compute, Hardware & Sovereign AI
AI Hardware Fundamentals
Learn where AI physically runs and how CPU, GPU, memory, storage, networking, power and cooling constrain capability and cost.
Ask about AFA-106.01 ↗AFA-106.02 · Compute, Hardware & Sovereign AI
Building & Specifying AI Workstations
Translate workload requirements into practical workstation or server specifications without buying hardware that is mismatched to the job.
Ask about AFA-106.02 ↗AFA-114.01 · Compute, Hardware & Sovereign AI
Inside An Enterprise AI System
Walk through the physical and logical architecture surrounding enterprise-grade AI compute: power, UPS, management, networking, storage, model services.
Ask about AFA-114.01 ↗AFA-206.01 · Compute, Hardware & Sovereign AI
GPU Computing & Accelerated AI
Understand the principles that make GPUs effective for AI and learn to observe utilization, memory use, precision and throughput in real wor.
Ask about AFA-206.01 ↗AFA-206.02 · Compute, Hardware & Sovereign AI
Local LLM Deployment & Model Serving
Run open-weight models locally, compare quantization and serving approaches, expose models through APIs and connect them to application.
Ask about AFA-206.02 ↗AFA-204.01 · Compute, Hardware & Sovereign AI
AI Storage, Networking & Data Movement
Design the path between datasets, high-speed local storage, shared storage, backup and networks so compute is not starved or exposed unn.
Ask about AFA-204.01 ↗AFA-211.01 · Compute, Hardware & Sovereign AI
GB300 AI Systems & Sovereign AI Lab
A small-cohort specialty lab exploring enterprise AI compute, local/private model serving, protected data, monitoring and governed access lab infrastructure when available.
Prerequisites & enquiry
Prerequisites: AI Hardware Fundamentals; availability subject to lab configuration
AFA-102.01 · Data, RAG & Enterprise Deployment
Enterprise RAG Foundations
Build grounded AI experiences that retrieve approved organizational information before generating answers.
Ask about AFA-102.01 ↗AFA-102.02 · Data, RAG & Enterprise Deployment
AI Evaluation, Groundedness & Evidence
Create practical evaluation methods for correctness, completeness, groundedness, safety, consistency, latency and cost.
Prerequisites & enquiry
Prerequisites: AI Research, Verification & Source Discipline recommended
AFA-102.03 · Data, RAG & Enterprise Deployment
Microsoft Fabric & AI-Ready Data
Understand how structured enterprise data, analytics and semantic models become reliable inputs for AI applications and decision-support sy.
Prerequisites & enquiry
Prerequisites: M365 Information Architecture Basics recommended
AFA-202.01 · Data, RAG & Enterprise Deployment
Sovereign Research Data, IP & Knowledge Architecture
Protect sensitive research, proprietary information and institutional knowledge while still enabling useful AI-assisted analysis and retrieval.
Prerequisites & enquiry
Prerequisites: Enterprise RAG Foundations recommended
AFA-202.02 · Data, RAG & Enterprise Deployment
AI Procurement, Deployment & Lifecycle Operations
Evaluate vendors and move AI systems from pilot to production with clear requirements for security, data, auditability, cost, exit strategy and monitoring.
Prerequisites & enquiry
Prerequisites: AI Strategy, Risk & Opportunity for Leaders recommended
AFA-102.04 · Data, RAG & Enterprise Deployment
Living Knowledge Systems
Examine how organizations can move beyond disconnected repositories and search toward knowledge that stays connected to evidence, deci ownership and changing conditions.
Prerequisites & enquiry
Prerequisites: Enterprise RAG Foundations recommended
AFA-209.02 · Data, RAG & Enterprise Deployment
Knowledge Continuity, Drift & Organizational Memory
Identify how decisions, definitions, assumptions and evidence drift over time, then design review practices that preserve institutional cont freezing obsolete knowledge.
Prerequisites & enquiry
Prerequisites: Living Knowledge & Organizational Intelligence recommended
AFA-105.01 · Creative AI, Spatial & Virtual Production
Generative Image & Video For Organizations
Use generative visual systems for communication, concept development, training and design while maintaining review, brand control and righ.
Prerequisites & enquiry
Prerequisites: AI Literacy & Modern AI Foundations recommended
AFA-105.02 · Creative AI, Spatial & Virtual Production
Generative Film & Storyworld Production Lab
Combine human authorship with generative tools for scripts, storyboards, characters, visual development, shot ideation, sound and editorial.
Prerequisites & enquiry
Prerequisites: Generative Image & Video for Organizations
AFA-109.01 · Creative AI, Spatial & Virtual Production
Spatial Computing Fundamentals
Understand the shift from flat interfaces to spatial experiences and how sensing, interaction, 3D content and AI combine in immersive system.
Ask about AFA-109.01 ↗AFA-205.01 · Creative AI, Spatial & Virtual Production
Apple Vision Pro For Organizations
Explore practical Vision Pro workflows for visualization, training, immersive review and spatial work rather than treating the device only as co entertainment.
Ask about AFA-205.01 ↗AFA-205.02 · Creative AI, Spatial & Virtual Production
AI-Native Virtual Production & Previsualization
Use AI, real-time visualization and cinematic planning to accelerate previsualization, shot exploration, virtual environments and collaborative decisions.
Prerequisites & enquiry
Prerequisites: Generative Film & Storyworld Production Lab recommended
AFA-205.03 · Creative AI, Spatial & Virtual Production
Marbles Agentic Creative Production
Explore an agentic production model in which specialized AI systems coordinate scripts, characters, shots, assets, continuity, approvals and records under human creative control.
Prerequisites & enquiry
Prerequisites: Introduction to AI Agents; Generative Film & Storyworld Production Lab recommended
AFA-107.01 · Robotics & Physical AI
Physical AI Fundamentals
Connect perception, reasoning, planning and action to understand how AI systems move from digital outputs into the physical world.
Ask about AFA-107.01 ↗AFA-107.02 · Robotics & Physical AI
Computer Vision For Robotics
Learn how cameras and vision models can support detection, pose, tracking, inspection and task awareness for physical systems.
Ask about AFA-107.02 ↗AFA-108.01 · Robotics & Physical AI
Edge AI, Jetson & On-Device Models
Understand why some AI belongs close to the sensor or robot and how compact accelerated computers support local perception and control.
Ask about AFA-108.01 ↗AFA-207.01 · Robotics & Physical AI
Robot + LLM Integration
Use language and multimodal models as supervised planning and interpretation layers around deterministic robot capabilities and safety cons.
Prerequisites & enquiry
Prerequisites: Physical AI Fundamentals; Introduction to AI Agents
AFA-207.02 · Robotics & Physical AI
Multi-Robot Coordination, Safety & Human Supervision
Design coordinated robot fleets around shared site state, task allocation, material flow, collision avoidance, handoffs and responsible hum.
Prerequisites & enquiry
Prerequisites: Robot + LLM Integration recommended; simulation or approved hardware environment
AFA-114.02 · Advanced Architecture & Master Programs
Intelligence Architecture Fundamentals
Learn to map people, knowledge, models, tools, infrastructure and governance as one accountable intelligence system before selecting techn.
Ask about AFA-114.02 ↗AFA-202.03 · Advanced Architecture & Master Programs
Sovereign Intelligence Strategy
Evaluate sovereignty across data, identity, models, compute, policy, legal control, evaluation, continuity and institutional knowledge.
Prerequisites & enquiry
Prerequisites: AI Hardware Fundamentals or AI Strategy recommended
AFA-301.01 · Advanced Architecture & Master Programs
Intellectonics(TM) Masterclass
A conceptual and applied introduction to Atkinson Film-Arts' discipline of Animating Intelligence. The public course establishes principles and questions; detailed proprietary methods remain within controlled advanced programs.
Prerequisites & enquiry
Prerequisites: Senior practitioner standing; application may be required
AFA-115.01 · Advanced Architecture & Master Programs
AI Systems Architect Studio & Certified Architect Pathway
A selective capstone studio for professionals who must design complete AI systems across infrastructure, models, data, agents, interfaces, governance, security, economics and human operations.
Prerequisites & enquiry
Prerequisites: Advanced standing or equivalent experience; application/instructor approval
No courses match. Try another search or choose all families.
Delivery & pricing / 2026 planning rates
Built around real learning needs.
All amounts are indicative Canadian dollars + HST, not third-party certification, vendor licensing or hardware fees. Specialist labs require equipment availability and preparation.
| Delivery format | Indicative planning rate |
|---|---|
| 2-hour public module | $295–$495 per person |
| Half-day professional workshop | $595–$895 per person |
| Full-day practitioner program | $995–$1,500 per person |
| Advanced technical lab | $1,500–$2,250 per person / day |
| GB300 specialty lab (when available) | $1,950–$2,500 per person / day |
| Private organization training day | $7,500–$15,000 / day |
| Private compute-lab engagement | $15,000–$22,500 / day |
All AFA-developed learning pathways are distinct from vendor or third-party certifications unless explicitly specified. No dates or seats are confirmed here.