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Gain practical skills in AI tools and applications to achieve digital readiness.
This three-day AI Readiness Program equips participants with practical knowledge and hands-on experience across the AI landscape. Starting with foundational concepts — AI, machine learning, deep learning, and how large language models work — the program quickly moves into real-world application. Participants will explore leading AI platforms including ChatGPT, Claude, Gemini, and Perplexity, as well as creative tools like RunwayML, Gamma, and Canva Pro. The program covers prompt engineering, AI-powered coding tools, app builders, and automation frameworks. Day three addresses advanced topics including running local models, APIs, AI agents, meeting AI tools, and the critical dimensions of AI ethics and governance. Each session features hands-on exercises, and the program culminates in a capstone project where teams build a fictional business using AI tools — from business plan to pitch deck
Capital Market
Insurance
Financing
Artificial Intelligence and Data Management
Not Exist
Lecture
Case Studies +3
Lecture
Case Studies
Brainstroming
Practical Implementation
Dialogue and Discussions
Pre Assessment
Financial sector professi...
Managers and team leaders...
Any professional looking ...
Financial sector professionals seeking to understand and apply AI tools
Managers and team leaders responsible for digital transformation initiatives Managers and team leaders responsible for digital transformation initiatives
Any professional looking to build practical AI skills regardless of technical background
This provides you with the opportunity to select the available times that suit you best for participation in our program. These times represent slots during which we are ready to welcome you and provide assistance and guidance.
Understand the core concepts of AI, machine learning, deep learning, and how large language models (LLMs) work including tokens, training, and inference.
Use leading AI platforms (ChatGPT, Claude, Gemini, Perplexity, Grok) and apply prompt engineering techniques to achieve effective results.
Explore and evaluate creative AI tools, AI-powered coding assistants, and no-code app builders for practical use cases
Run local AI models, use APIs, and build automation workflows using AI agents and integration frameworks.
Apply AI ethics and governance principles and develop integrated business solutions using AI tools in a capstone project.