Set the AI strategy
Build an AI leadership strategy and a phased roadmap, with a prioritized list of use cases.
Partners and press
Overview
AI projects stall on people, not models. This path covers strategy, risk and change.
IBM Lead AI Transformation is a seven-course Professional Certificate on Coursera for leaders, rated Beginner, no coding needed. You follow one manufacturing case from AI literacy to governance and ROI, then write a board-ready executive brief. It is course-based, not a proctored exam, and new, with Coursera showing a September 2026 update; leadership experience helps.
8Modules
41Hours
7Skills
8Roles
What it covers
Learn all the way down.
Learn all the way down.
Perform when it matters.
Design the organization
Choose an operating model and organizational design that can carry AI work at scale.
Govern and manage risk
Create a risk register and apply governance for responsible deployment, including regulatory concerns.
Drive adoption and value
Plan workforce change, track an adoption dashboard and measure ROI as AI scales.
Course outline
Lead the change AI brings,
Lead the change AI brings,
from a first pilot to a board decision.
We design this course ourselves. IBM issues the credential, and LUNARTECH is independent of IBM.
Leaders do not need to code, but they need to ask good questions. You learn what machine learning and generative AI actually do, what they need to work, and where they fail, using one manufacturing case throughout.
- What AI, machine learning and generative AI each are
- How models learn from data
- What data an AI project needs
- What AI does well and where it fails
- Reading a vendor claim critically
- A shared vocabulary with technical teams
You build A glossary and question list a leader can bring to any AI discussion.
Value comes from picking the right problems. You collect candidate use cases from across the business, score them for value and feasibility, and produce a ranked list a team can act on.
- Where AI fits in a value chain
- Collecting use cases from the business
- Scoring value, feasibility and risk
- Data readiness as a deciding factor
- Quick wins against long-term bets
- Building a prioritized portfolio
You build A scored and prioritized list of use cases for the manufacturing case.
An AI strategy must serve the business strategy, not stand beside it. You set the ambition, decide what to build, buy or partner for, and lay out a phased roadmap with clear decision points.
- Linking AI ambition to business strategy
- Building a leadership alignment plan
- Build, buy or partner
- Data and technology foundations
- Phasing a roadmap with decision gates
- Communicating the strategy
You build A phased AI roadmap with decision gates for one organization.
How AI work is organized decides whether it scales. You compare central, federated and hub-and-spoke models, define the teams and skills needed, and settle who funds and who owns what.
- Central, federated and hub-and-spoke models
- Centers of excellence and their limits
- Roles and skills an AI organization needs
- Data ownership and platform responsibility
- Funding and prioritization processes
- Choosing a model for your organization
You build An operating-model proposal with roles, responsibilities and funding rules.
AI creates risks that ordinary controls miss. You write the policies, review steps and oversight that keep deployment responsible, assess regulatory exposure, and keep a risk register that someone actually owns.
- Principles for responsible AI
- Policies and review boards
- Building and using a risk register
- Human oversight of automated decisions
- Regulatory exposure and how to track it
- Managing third-party and vendor AI risk
You build A risk register and governance policy for the case’s highest-priority use case.
Technology that nobody uses delivers nothing. You plan communication and training, handle resistance, redesign work around what AI does, and track adoption with a dashboard that shows where people are stuck.
- Why AI adoption stalls
- Stakeholder analysis and communication planning
- Training and enablement by group
- Redesigning work around AI tools
- Handling concern and resistance
- An adoption dashboard
You build A change plan with training paths and an adoption dashboard design.
Pilots impress; scaled programs pay. You set baselines and indicators, calculate return on investment with honest costs, decide what to scale or stop, and plan how the program grows.
- Baselines and key performance indicators
- Counting full costs, not only licenses
- Return on investment for AI initiatives
- From pilot to production: what changes
- Deciding what to scale and what to stop
- Reporting results to leadership
You build A value case with baselines, indicators and an ROI calculation for one initiative.
Bring the work together in one document for a board: strategy, use cases, organization, governance, adoption and value. It has to be short, decisive and honest about risk.
- Choosing what the board needs to decide
- Summarizing strategy and priorities
- Presenting risk and governance plainly
- Making the value case
- Writing the recommendation and next steps
You build A board-ready AI transformation executive brief.
Issued by
Certifying body · Independent of LUNARTECH
IBM
IBM schedules its certification exams through Pearson VUE and issues digital credentials through Credly. HashiCorp, now part of IBM, runs its own proctored exams, and the Professional Certificates are Coursera courses offered by IBM. LUNARTECH is independent of IBM.
How you get there
Top-tier roles go to people who can do the work.
Top-tier roles go to people who can do the work.
Here’s how you get there.
Know where you start.
No prior AI, data or coding experience is needed. Some leadership or team-coordination experience helps.
Work through the course.
Eight modules, designed by LUNARTECH, at your own pace.
Earn it with IBM.
IBM issues the credential, so you earn it directly with them.
Support
Support at every stage.
Support at every stage.
You won’t be working through this alone.
Before you start
Try it first.
A 3-day free trial opens a selection of the content. Your card is only charged once it ends.
While you learn
Mentors within reach.
Stuck on a concept? Reach out to a mentor whenever you need help.
While you learn
One-on-one sessions.
On the yearly plan, one-on-one sessions give you dedicated support.
Any time
A team behind you.
Write to info@lunartech.ai at any point, from your trial onwards. If your employer is funding you, we’ll set it up with them directly.
All the way through
A schedule that fits around your life.
Your own paceFrom anywhereAt any hour
After the last lesson
Stay in the network.
Your alumni network stays with you: ongoing support, opportunities and industry insight.
Career support
Career support, past the last lesson. Coaching, a sharper resume, real interview preparation and the people to know.
Career direction
Tailored coaching helps you decide where to aim and how to get there.
Strong portfolio
Hands-on projects become work you can show, not just claim.
Resume and profile
Personalized refinement, so what you send says what you can actually do.
Interview preparation
Preparation for the questions that decide it, so you walk in ready.
Network and search
Connections with industry leaders, and an alumni network that stays with you.
Reviews
Real stories from the community.
LUNARTECH Academy has been the most empowering learning experience of my life, giving me a clear, structured path from the absolute basics to building real-world AI systems with confidence.
Your page is fantastic. As a bachelor’s student in Data Science now accepted for a master’s at UConn, your work has been a real source of motivation.
The programme’s clear, bite-sized content and practical projects dramatically improved my speed from fuzzy idea to MVP and my ability to communicate AI value. I followed the system, and it works.
I really appreciate your teaching style and the way you break down complex topics. It has been incredibly helpful.
After years working mainly with R for econometrics, I found your Python machine learning course a refreshing and engaging way to learn Python.
As a Data Science graduate, I want to thank you for the effort you put into making videos to support growing data scientists.
I’ve been following your work since taking your machine learning course, and I’m impressed by your practical approach to applying AI.
Why choose us
Built around how you actually learn.
One standard behind every course, from the first lesson to long after the last.
Hands-on practice
Apply every idea to real problems, so it becomes something you have used, not only seen.
Industry-aligned curriculum
We keep courses current with the tools, techniques and skills the field asks for.
Flexible learning
Study at your own pace, from anywhere, at any hour.
Certificate of completion
Finish the course and earn a certificate that shows what you have learned.
Focus on your success
Personalized learning plans and support structures carry you through the hard parts.
Lifetime alumni network
Stay connected after you finish, with ongoing support, opportunities and industry insight.
Your certificate
It doesn’t raise its voice. Neither will you.
Finish a LUNARTECH course and its certificate is issued in your name, under our signature. IBM’s credential comes from IBM.
Certificate of completion
Your Name
IBM Lead AI Transformation course
LUNARTECH RISE Academy
Pricing
This course comes with the membership.
This course comes with the membership.
So does everything else.
One membership opens every course, certification, workshop and masterclass in the Academy. Every plan starts with a 3-day free trial. IBM issues the credential.
3 days free, then $29.97 a month. Your card is only charged once the trial ends.
Included in every plan
- Every course in the Academy
- Every certification course
- Workshops and masterclasses
- A certificate of completion
- A 3-day free trial
- Learning at your own pace
- The lifetime alumni network
- Upgrades at any time
In practice
Eight roles.
Eight roles.
One credential across them all.
No single job owns it. Here’s where each role leans hardest, and where its work ends up.
- 01AI literacy
- 02Strategy
- 03Operating model
- 04Governance
- 05Change
- 06Value
- 07Capstone
-
Boards ask for a roadmap and a number. The capstone produces both.
Strategy, Operating model, Capstone
Large enterprises, Manufacturing
-
Rollouts stall when people are left out. Change plans and dashboards keep them in.
Change, Value
Large enterprises, Financial services
-
A risk register makes AI risk visible. Governance puts someone in charge of it.
Governance, AI literacy
Financial services, Public sector
-
You decide which AI bets the engineering budget backs. A clear operating model keeps pilots from piling up.
Strategy, Operating model, Value
Large enterprises, Financial services
-
AI changes plant and process work, and people need a plan. You track the value each change delivers.
Operating model, Change, Value
Manufacturing, Large enterprises
-
Clients ask where to start, what to govern and what it returns. The brief format gives you a structure for the answer.
Strategy, Governance, Value
Large enterprises, Financial services
-
Governance sets which data an AI system may learn from. Your operating model decides who owns each use case.
Governance, Operating model
Financial services, Public sector
-
You need AI literacy to tell hype from a workable plan. A value case helps you make the argument to investors.
AI literacy, Strategy, Value
Large enterprises, Financial services
- Large enterprises
- Manufacturing
- Financial services
- Public sector
AI Leader & Manager
Boards ask for a roadmap and a number. The capstone produces both.
Over 10,000 students trust LUNARTECH
LUNARTECH gives you the skills
to learn, build, create and lead.
Engineers
Understand systems all the way down. Build the ones others rely on.
Scientists
Understand what the data says. Build models that hold up.
Researchers
Understand the papers. Build on them, and take the work further.
The field
Anyone can use AI.
Anyone can use AI.
Few can engineer it. This is where that starts.
+340%growth in open roles requiring AI skills
Roles and pay
~35,000 open roles right now
Open roles: Built In, Greenhouse, LinkedIn.
Typical salaries: Glassdoor, Levels.fyi, Payscale, Indeed, Ravio, JobRise, U.S. BLS. Military: 2026 U.S. basic pay, drone officers with aviation incentive pay.
Updated November 2026.
FAQ
Frequently asked questions.
Need help? These answers cover most of what people ask before they start.
No. IBM issues it. LUNARTECH is independent of IBM, and its names and marks belong to it. When you finish a course of ours, you earn a LUNARTECH certificate of completion for that course.
No. We design this course ourselves, around what the credential covers. IBM has no part in it, and you still earn the credential directly with IBM.
41 hours, online, self-paced, in English.
No prior AI, data or coding experience is needed. Some leadership or team-coordination experience helps.
We last reviewed it on 5 November 2026, from IBM’s own pages. Details change, so check the official page before you book.
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The course
Build the skills behind IBM Lead AI Transformation.
Lead an organization’s AI strategy, governance and rollout. Start with a free trial, or enroll in a plan and work through the course at your own pace. IBM issues the credential.
LUNARTECH is independent of the vendors and certifying bodies listed here. Their names, exam titles and marks belong to them, exams are run by them, and credentials are issued by them. Reviewed 5 November 2026. Catalogues change often, so confirm the details on the official page before you book.
