AI Fundamentals: From Core Concepts to Practical Workplace Applications

BOOST Consulting & Training has designed this comprehensive five-day foundation program to provide participants with a clear, structured, and practical understanding of Artificial Intelligence and its growing role in today’s workplace. The course is specifically developed for non-technical professionals who want to understand AI fundamentals and confidently use AI-powered tools without requiring prior technical or programming knowledge.

The program introduces the essential concepts of Artificial Intelligence, machine learning, generative AI, large language models, and data-driven systems using accessible business language and real-world examples. Participants will explore how AI is transforming different organizational functions and learn how to identify relevant AI opportunities within their own roles and workplaces.

Through interactive demonstrations, guided exercises, workplace simulations, practical prompting activities, and relevant case studies, participants will learn how to use generative AI tools to enhance communication, research, reporting, content development, problem-solving, decision-making, and everyday productivity. The program also emphasizes the importance of human judgment, fact-checking, data privacy, cybersecurity, ethics, bias awareness, and responsible AI use.

By the end of the program, participants will have developed the confidence and foundational skills required to work effectively with AI tools, evaluate their outputs critically, and apply them responsibly to real workplace challenges. Each participant will also create a practical AI-supported workplace solution and a personalized 30-day action plan to support the continued application of their learning after the program.

• Explain the fundamental concepts and terminology of Artificial Intelligence.
• Distinguish between AI, machine learning, deep learning, and generative AI.
• Identify suitable AI applications across different business functions.
• Use generative AI tools effectively for everyday workplace tasks.
• Write clear and structured prompts that generate higher-quality outputs.
• Apply AI to research, communication, reporting, analysis, and problem-solving.
• Recognize AI limitations, risks, bias, privacy, and security considerations.
• Validate AI-generated information and avoid overreliance on automated outputs.
• Identify opportunities for responsible AI adoption within their organizations.
• Develop a practical personal AI adoption plan.