Understanding, Harnessing & Applying Generative AI for Decision Makers and Architects (TTAI2102)

About This Course:

Generative AI is reshaping how organizations innovate, operate, and compete. This one-day executive-level course gives leaders and architects the clarity and tools they need to make smart, strategic decisions about GenAI adoption. Through real-world use cases, interactive demos, and practical frameworks, you’ll learn how to identify high-value opportunities, manage risks like data privacy and bias, and build the right teams and processes to drive successful AI initiatives. Leave with a clear action plan to evaluate, pilot, and scale Generative AI solutions that deliver measurable business impact.

Course Objectives:

Working in an interactive learning environment, led by our engaging AI expert, you will:

• Understand what Generative AI is and how it differs from traditional AI.

• Identify and prioritize high-value GenAI use cases for their organization.

• Evaluate risks including data privacy, bias, intellectual property, and compliance.

• Build a framework for piloting and scaling GenAI initiatives.

• Make informed decisions about tools, platforms, and team composition.

Audience:

• This introductory course on Generative AI is designed for business and technology leaders who are evaluating, planning, or guiding AI adoption in their organizations. It is ideal for executives, IT leaders, solution architects, project managers, business strategists, and analysts who are responsible for making informed decisions about technology investments and team direction.

   

• No programming or data science background is required. Participants should have a solid understanding of business operations, decision-making processes, and basic familiarity with digital tools or enterprise systems. Prior experience managing technology projects is helpful but not mandatory.

Prerequisites:

• No programming or data science background is required. Participants should have a solid understanding of business operations, decision-making processes, and basic familiarity with digital tools or enterprise systems. Prior experience managing technology projects is helpful but not mandatory.