Capability building
Through capability building, we translate the advances in AI into knowledge that leadership teams, business owners, students, faculties, teachers and administrative staff can apply in their own context. In other words, rather than teaching AI in general, we start with the problems of the participants and build the capability to solve them.
Levels
Every topic has one of three levels, which apply to all four groups:
Level I
Foundation
Understand what AI is, what it can and cannot do, and how to use it safely and responsibly.
Level II
Practitioner
Apply AI to one’s own work and decisions, with the judgment to check, correct and govern its output.
Level III
Builder
Design, build and evaluate AI solutions and systems for a defined problem.
Formats
Lecture
A single session on one topic, for any of the four groups.
Workshop
A hands-on session of half a day or a full day, in which participants apply AI to the problems of their own function, department or subject.
Enterprises
For CXOs, leadership teams and their functions.
Leadership
AI for leaders: what changes and what does not
Level I · Lecture
An overview of the current state of AI, its limits, and its impact on the work of a leadership team.
From use cases to priorities
Level II · Workshop
A method to identify, assess and prioritize AI use cases by their impact, feasibility and risk.
Governing AI in the enterprise
Level II · Workshop
The policies, roles, controls and approvals needed to use AI responsibly at scale.
Decision intelligence for leadership teams
Level II · Workshop
How leaders combine data, context and AI to see what matters, understand why and decide what to do next.
Human resources
AI in talent acquisition
Level II · Workshop
The use of AI in sourcing, screening and interviewing, with attention to fairness, privacy and the experience of candidates.
Skills and workforce planning for AI
Level II · Workshop
How roles, skills and team structures change as AI takes on parts of the work.
Responsible AI use at work
Level I · Lecture
The policies and training needed for employees to use AI safely in their daily work.
Finance
AI in planning and forecasting
Level II · Workshop
The use of AI in budgeting, forecasting and scenario analysis, and the checks that keep its output reliable.
Automation of close and reporting
Level II · Workshop
Where AI and automation reduce the manual effort of reconciliation, close and management reporting.
Controls and risk for AI
Level II · Lecture
The audit, control and risk questions that finance leaders should ask of every AI system.
Marketing
Generative AI for content and campaigns
Level II · Workshop
The use of generative AI to plan, produce and adapt content, with controls for brand, quality and rights.
Search in the age of AI answers
Level II · Workshop
How search engines and AI assistants find and cite a business, i.e., SEO, GEO and AEO.
Marketing measurement with AI
Level III · Workshop
The measurement of marketing effectiveness with methods such as marketing mix modeling and experiments, supported by AI.
Sales
AI across the sales pipeline
Level II · Workshop
The use of AI in lead qualification, account research, proposals and forecasting.
AI assistants in the CRM
Level II · Workshop
The setup and governance of AI assistants within the CRM that the sales team already uses.
Operations and supply chain
Demand forecasting and inventory
Level II · Workshop
The use of AI to forecast demand, optimize inventory and flag exceptions early.
Process mapping and automation
Level II · Workshop
A method to map a process, identify its waste and automate its repetitive steps.
IT and technology
Retrieval-augmented generation in the enterprise
Level III · Workshop
The design of AI assistants that answer from the enterprise’s own documents and data, with citations.
Agents in the enterprise
Level III · Workshop
The architecture, permissions, monitoring and evaluation of AI agents that act within enterprise systems.
Evaluation and monitoring of AI systems
Level III · Workshop
Methods to test, monitor and improve AI systems before and after their deployment.
SMBs
For owners and CXOs of small and medium businesses.
AI for small businesses: where to start
Level I · Lecture
An overview of what AI can do for a small business today, and the first steps to take.
Everyday AI tools for a small team
Level I · Workshop
The practical use of AI assistants for writing, analysis, research and planning.
Automating repetitive work
Level II · Workshop
How to identify repetitive tasks and automate them with the tools that the business already uses.
AI for sales and customer service
Level II · Workshop
The use of AI to respond to customers, follow up with leads and keep records current.
Marketing on a small budget with AI
Level II · Workshop
The use of AI to plan and produce campaigns and content, and to measure their results.
Working with AI agents
Level II · Workshop
How owners direct, check and govern AI agents that work in the roles of the business.
Choosing AI tools safely
Level I · Lecture
How to evaluate AI tools for cost, data privacy and lock-in before adopting them.
Universities
For students, by technical component; for faculties and administrative staff, by use case.
Students
AI foundations
Level I · Lecture
How machine learning, neural networks and large language models work, and where they fail.
Responsible AI
Level I · Lecture
Bias, privacy, intellectual property and accountability in the design and use of AI.
Prompting and context engineering
Level II · Workshop
The design of prompts and context that make the output of a model reliable for a defined task.
Retrieval-augmented generation (RAG)
Level II · Workshop
The design of systems that answer from a defined set of documents, with citations.
Agentic AI
Level III · Workshop
The design of agents that plan, use tools and act, and the patterns that keep them reliable.
Harness engineering
Level III · Workshop
Memory architecture, tool orchestration, guardrails and evaluation for AI systems.
Model adaptation for edge AI
Level III · Workshop
Fine-tuning, quantization, pruning and knowledge distillation to run models on local devices.
Building an AI product
Level III · Workshop
From a problem to a working AI prototype, with its users, its evaluation and its limits.
Faculties
Academic integrity in the age of AI
Level I · Lecture
The policies, assessment design and conversations that keep learning honest when students use AI.
Presentation enrichment
Level I · Workshop
The use of AI to structure, illustrate and improve lecture presentations, while keeping their content accurate.
Workflow automation for faculties
Level II · Workshop
The automation of routine academic and administrative tasks, such as scheduling, communication and record-keeping.
Course and syllabus planning
Level II · Workshop
The use of AI to plan a course, map its learning outcomes and prepare its material.
Assessment and rubric design
Level II · Workshop
The design of assessments and rubrics with AI, at different levels of difficulty and for different abilities.
Research support
Level II · Workshop
The use of AI for literature search, reading, data analysis and writing, with attention to accuracy and citation.
Administrative staff
Data privacy in everyday AI use
Level I · Lecture
What staff may and may not share with AI tools, and why.
AI for student services
Level I · Workshop
The use of AI in admissions, inquiries and communication with students.
Document and workflow automation
Level II · Workshop
The automation of forms, approvals and records within the systems that the university already uses.
High schools
For the students and teachers of Grades 11 and 12.
Students
AI as a study partner, not a shortcut
Level I · Workshop
How to use AI to understand a topic, practice and check one’s own work, rather than to copy answers.
How AI works
Level I · Lecture
From data to predictions, i.e., an introduction to data, machine learning, neural networks and generative AI.
Asking better questions
Level I · Workshop
Prompting as a way to think clearly, i.e., to define a question, test an answer and find its sources.
AI ethics, bias and deepfakes
Level I · Lecture
How to recognize bias, misinformation and manipulated media, and how to act responsibly.
Futures with AI
Level I · Lecture
How AI is changing study and careers, and the skills that remain valuable.
Curiosity projects with AI
Level II · Workshop
A small project in which students apply AI to a question from their own subjects or interests.
Teachers
AI literacy for the classroom
Level I · Workshop
How to teach students what AI is, how to use it well, and when not to use it.
Protecting school material and student privacy
Level I · Lecture
How to use AI without placing the school’s material or the data of students in public tools.
Lesson and course planning with AI
Level I · Workshop
The use of AI to turn curriculum standards into course and lesson plans, in the teacher’s own style.
Differentiated quizzes and assessments
Level II · Workshop
The design of quizzes and assessments at several levels of difficulty, for students with different learning abilities.
Feedback with the teacher in the loop
Level II · Workshop
The use of AI to draft feedback on students’ work, which the teacher reviews and approves.
Engagement
We continuously upgrade and expand our lectures and workshops to keep pace with rapid advancements in AI. Contact us to schedule a discovery call and explore how we can upskill your people.