This program is designed for business leaders and managers with strategic decision-making responsibilities who want to understand how AI can create value in their organization. No technical background is required.
average completion rate
of participants find this program relevant to their professional work
Learner insights from the program
What they learned
Through real case studies and hands-on experiences, participants have gained:
A comprehensive understanding of AI, ML, and Gen AI applications, including use case identification, AI selection, and business integration.
Insights into the importance of data quality for successful AI projects.
Awareness of AI ethics, bias, and its potential workforce impact.
How they've applied it
From strategy to execution, participants have:
Integrated and improved the use of ML and Gen AI tools, such as Copilot, in business processes.
Collaborated with experts to identify use cases and implement AI/ML strategies.
Leveraged the power of quality data.
Challenges they anticipate
While implementing their learnings, participants foresee:
Limited resource availability, including time, budget, and necessary competencies.
Challenges with accessing quality data, including issues related to availability, confidentiality, and management.
Resistance to change, competing priorities, and challenges in securing management and stakeholder buy-in.
Trusted by industry-leading companies
Being able to interact with lots of people from different companies and different backgrounds. This results in constant perspective change and more realization of topics.
The program has the right balance of theory, interaction and examples. It also gives flexibility to participants to pace the learning at their own will - I found this to be great blessing.
Use cases, learning more about AI from other companies and their respective journeys. The AI playbook is great, very hands-on and concrete.
