Identify AI Opportunities
Spot areas across your business where AI can add measurable value
No coding required
AI for business & non-technical professionals
Harness AI without writing code. Learn the no-code tools that improve decisions, automate marketing and build intelligent workflows into your day.
- 8 Modules
- 13 No-Code Tools
- Business Case Studies
- 5 Career Tracks
What you'll learn
Practical AI for the work you already do
Spot where AI adds value, then put it to work with tools you can use the same day.
Use No-Code AI Tools
Build AI solutions using platforms like DataRobot, Salesforce Einstein, and more
AI for Marketing
Use AI for tailored marketing, customer segments, chatbots and live support
Navigate AI Ethics
Understand bias, compliance under GDPR and CCPA, and responsible AI deployment
Module highlights
Real cases, real tools, real results
A few of the moments learners remember most from the eight modules.
Case studies from real adopters
What Amazon and Google actually did, how AI differs from traditional analytics, and where the return comes from.
Hands-on tool workshops
Build and test a working model in DataRobot, H2O.ai and MonkeyLearn — used in the session, not shown on a slide.
Marketing and customer service
Personalisation and segmentation through HubSpot and Adobe Sensei, then support with Drift, Intercom and ChatGPT.
Bias, GDPR and CCPA
Where bias enters a system and what reduces it, and the compliance ground to stand on before a customer sees it.
From pilot to production
Find the opportunities worth pursuing, build or buy the team, and manage the change as the business keeps running.
A route to keep learning
Where the field goes next: the metaverse, blockchain and sustainability, and how to keep your skills current.
The curriculum
Eight modules, zero code
Open any module to see its topics.
The concepts everything else rests on, explained without code: what separates machine learning, deep learning and NLP, how the field arrived here, and where it is already at work across healthcare, finance and retail.
- What is AI? Key concepts
- Machine Learning, Deep Learning, NLP
- History and evolution of AI
- AI in everyday life
- Industry impact: Healthcare, Finance, Retail
- Common myths about AI
Tools
No-code tools you'll master
AI/ML Platforms
DataRobot
H2O.ai
MonkeyLearn
IBM Watson
Business AI Tools
Salesforce Einstein
Zoho AI
Power BI
Tableau
Marketing & Personalisation
HubSpot
Adobe Sensei
Conversational AI & Support
Drift
Intercom
ChatGPT
After the program
Career opportunities
AI Analyst
Spot AI opportunities early
AI Project Manager
Lead AI implementation projects
Automation Specialist
Build no-code AI workflows
AI Product Designer
Design AI-powered product experiences
BI Lead
Drive data-driven business decisions
Keep learning
Additional learning resources
Recommended Books
- "AI Superpowers" by Kai-Fu Lee
- "Prediction Machines" by Ajay Agrawal
Podcasts
- "AI in Business"
- "The AI Alignment Podcast"
Communities
- AI for Business LinkedIn Group
- AI in Business Reddit Forum
Industry Reports
- "State of AI" by McKinsey
- "AI Index Report" by Stanford HAI
Common Questions
