This course offers a comprehensive exploration into the transformative power of Artificial Intelligence (AI), specifically focusing on generative AI, large language models, AI governance, and MLOps (Machine Learning Operations). Designed to bridge the gap between theoretical knowledge and practical application, the curriculum is crafted to facilitate a deep understanding of AI's role in driving business innovation and efficiency.
Participants attending this course will be enrolled in the BCS Artificial Intelligence Foundation certification, enabling them to become a Certified Artificial Intelligence Professional.
Course Methodology
Participants will engage in a dynamic learning environment, characterized by collaborative real world case studies, hands on exercises, and strategic discussions.
Course Objectives
By the end of the course, participants will be able to:
Grasp the Fundamentals of AI: Understand AI's comprehensive landscape, including generative AI and large language models, and its significance in modern business
Leverage AI Across the Business Value Chain: Identify and apply AI-driven strategies to enhance operational efficiency and innovation
Unravel AI Technologies and Algorithms: Gain insights into the mechanisms driving AI solutions, tailored for managerial understanding rather than technical expertise
Implement AI Best Practices: Learn the critical steps and methodologies for successful AI project management, including AI governance and MLOps frameworks
Build AI Competence: Assess and develop the essential skills and competencies needed to lead AI initiatives within your organization
Facilitate AI-centric Discussions: Engage effectively with both business and technical teams on AI-related endeavors
Craft and Execute an AI Strategy: Develop a comprehensive strategy to transform your organization into an AI-driven enterprise
Target Audience
This course is designed for senior, middle and high potential management who recognize that digital transformation and AI is unavoidable; and for those who understand that continuous improvement, innovation and disruption is part of doing business and want to be prepared and reap the benefits of Artificial Intelligence.
In short, this course is for managers wanting to identify what AI can do for them and to drive Digital Transformation, rather than understand the technical methodologies of what happens underneath its hood.
Understanding of basic technology concepts such as data and cloud is helpful but not required.
Target Competencies
AI Best Practice Application
AI Change Management
AI Business Translator
AI Project Management
Note
This course is certified by EXIN, a leading global certification body. Participants will have the opportunity to obtain the BCS Artificial Intelligence Foundation certification, demonstrating their proficiency in AI fundamentals and readiness to spearhead AI initiatives in their organizations.
Course Outline
Introduction to Artificial Intelligence (AI), Machine Learning (ML) and Data Science
AI in a historical setting and combinatorial technologies
Human and artificial intelligence
Introduction to AI, concepts, narrow and general AI
Different types of AI, including generative AI
The thinking in AI: Machine learning
Advanced Analytics vs Artificial Intelligence
Gartner’s ascendancy model
4 types of data analytics
Analytics value chain
Algorithms without technical jargon
Supervised learning
Unsupervised learning
Reinforcement learning
Transformer and large language models
Data as fuel for AI
Structured and unstructured data
The 5 V’s of data
Importance of quality data
Data management and governance
AI and robotics
4 rational agents
Intelligent agents
Robotic paradigms
Agents, robotics and reinforcement learning
AI opportunities
Successful use cases by Porter’s value chain
Successful use cases by technology
Natural language processing
Image recognition
Ideation of AI projects
AI funnel process
Several idea generation approaches
Prioritizing projects
AI project canvas
Running AI projects
Machine learning life cycle
AI machine learning canvas
Build or buy decisions
How to transform to an AI ready organization
AI strategy and framework
Dimensions of the AI framework
Practical approach to assess AI maturity
Best organizational structures
Benefits of an AI Center of Excellence
Skills and competencies
AI, risks, opportunities, ethics and sustainability