AI for Business Leaders and Teams

A hundred and twenty-eight lessons covering AI strategy, policy, the EU AI Act, security, vendor selection and rollout — plus a hands-on employee track so the whole organisation can use approved tools safely.

Lessons	128 video lessons (60 Essentials + 50 Leadership + 18 Employee)
Duration	Approximately 27.3 hours
Level	Beginner — no prior experience needed
Access	4 months from enrolment
Format	On-demand video, learn at your own pace
Price	€159

What the course covers

Finding high-value use cases and building an AI roadmap that survives contact with reality
Writing, rolling out and enforcing an AI policy people actually follow
The EU AI Act: risk categories, obligations, documentation and staying compliant
Security: protecting company data, access control, shadow AI and incident response
Comparing enterprise options — Copilot for 365, ChatGPT Enterprise, Gemini for Workspace
Internal assistants, RAG and knowledge bases, then agents and process automation
Measuring it: success metrics, productivity gains, ROI and reporting to stakeholders
A hands-on employee track with role-based guidance for ops, HR, finance, sales and support

Full curriculum — 128 lessons

The Essentials track builds shared understanding. The leadership path covers strategy, governance and risk. The employee path gives every team member practical, role-specific guidance.

Part 1: AI Essentials (60 lessons)

1	What an LLM actually is
2	Tokens and context in plain English
3	Why AI guesses: probability, not lookup
4	Strengths: what AI is genuinely great at
5	Limits and failure modes to expect
6	Meet the major AI assistants
7	ChatGPT in depth
8	Claude in depth
9	Gemini and Copilot in depth
10	NotebookLM and specialist tools
11	Which tool for which job; free vs paid
12	Anatomy of a great prompt
13	Giving context the model needs
14	Examples and few-shot prompting
15	Controlling role, format, and tone
16	Step-by-step and structured thinking
17	Iterating and refining results
18	Building reusable prompt templates
19	What hallucinations are and why they happen
20	Spotting hallucinations in the wild
21	Verification habits that scale
22	Giving the model your files and data
23	Context limits and how to work within them
24	When not to trust it
25	What you should never paste
26	Consumer vs business data handling
27	Bias, fairness, and disclosure
28	Basic legal and copyright awareness
29	Email that gets replies
30	Rewriting and tone shifting
31	Summarizing long messages and threads
32	Difficult and sensitive messages
33	Documents, reports, and structure
34	Proofreading and polishing
35	Asking better research questions
36	Summarizing and extracting key points
37	Learning any topic faster
38	NotebookLM for source-grounded research
39	Fact-checking and source habits
40	Planning projects and breaking down tasks
41	Prioritizing and making decisions
42	Meetings, notes, and follow-ups
43	Managing your time and to-do list
44	How AI image generation works
45	Writing prompts for images
46	Editing and iterating on images
47	Design help for non-designers
48	Creative projects and brainstorming
49	Talking to AI: voice mode
50	Working with images and screenshots
51	AI on your phone
52	Multimodal workflows combined
53	What automation means with AI
54	Your first simple automation
55	Connecting apps and AI
56	Custom GPTs and assistants
57	Auditing your daily tasks for AI
58	Building your personal AI toolkit
59	Habits that make AI stick
60	Keeping your workflow current

Part 2: Leadership path (50 lessons)

61	Why AI strategy matters now
62	Finding high-value use cases
63	Build vs buy vs adopt
64	Aligning AI with business goals
65	Your AI roadmap
66	Why you need an AI policy
67	Acceptable use and guardrails
68	Data handling rules
69	Roles and accountability
70	Writing the policy document
71	Rolling out and enforcing policy
72	The regulatory landscape
73	The EU AI Act explained
74	Risk categories and obligations
75	Documentation and transparency
76	Staying compliant over time
77	AI security threats overview
78	Protecting company data
79	Access control and identity
80	Shadow AI and its risks
81	Incident response for AI
82	The enterprise AI options
83	Microsoft Copilot for 365
84	ChatGPT Enterprise
85	Gemini for Workspace
86	Comparing cost and capability
87	Running a vendor pilot
88	What internal assistants do
89	How RAG and knowledge bases work
90	Preparing your knowledge sources
91	Building a first assistant
92	Accuracy, citations, and trust
93	Maintaining the knowledge base
94	From assistants to agents
95	Identifying processes to automate
96	Designing agent workflows
97	Human oversight and guardrails
98	Scaling automation safely
99	The human side of AI adoption
100	Training your workforce
101	Champions and communities of practice
102	Sustaining momentum
103	Defining AI success metrics
104	Measuring productivity gains
105	Calculating ROI
106	Reporting to stakeholders
107	Building an AI risk register
108	Ongoing monitoring and review
109	Governance committees and cadence
110	Auditing and continuous improvement

Part 3: Employee path (18 lessons)

111	Knowing your company's AI rules
112	Using approved tools the right way
113	Protecting data at work
114	When to ask before you act
115	AI for operations roles
116	AI for HR and people teams
117	AI for finance roles
118	AI for sales teams
119	AI for customer support
120	AI for executive assistants
121	Why share prompts as a team
122	Building a team prompt library
123	Standards and quality control
124	Collaborating on AI workflows
125	Streamlining your daily work
126	AI in your office suite
127	Managing email and meetings
128	Personal productivity systems

Who this course is for

Directors and managers responsible for how AI gets adopted
IT, security and compliance leads who have to sign it off
HR and operations teams writing the policy and training people
Organisations that need everyone using approved tools the same way

Frequently asked questions

Do I need any technical background?

No. The course starts from what an AI model is and builds up. No code, no maths, no assumed knowledge.

How is this different from the AI Essentials course?

It contains all of AI Essentials, then adds 50 leadership lessons on strategy, governance, the EU AI Act and security, plus 18 practical lessons for employees.

How long do I have access?

Four months from the date of enrolment.

Does it cover the EU AI Act?

Yes. Five lessons cover the regulatory landscape, risk categories and obligations, documentation and transparency, and staying compliant as the rules develop.

Can I use this to train a whole team?

The employee track is written for exactly that. Contact us about team and volume arrangements.

Enrol now and get instant access to all 128 lessons.