Artificial Intelligence (AI) Fundamentals
3 DaysArtificial Intelligence (AI) Fundamentals
Course Methodology
This course utilizes a hands-on, interactive approach to ensure participants gain practical AI skills applicable to their daily work. There will be live demonstrations, case studies, practical exercises and simulations, as well as an end of course project to implement an AI solution for their workplace.
Course Objectives
By the end of the course, participants will be able to:
- Identify and select the right AI tools (e.g., ChatGPT, Gemini, Microsoft 365 Copilot) based on cost, usability, and data privacy
- Apply prompt engineering techniques to generate more accurate and useful AI responses
- Utilize AI-powered tools to automate repetitive tasks such as drafting emails, summarizing meetings, and managing workflows
- Implement AI-driven data analysis and visualization using tools like Power BI and ChatGPT
- Develop and present an AI-based solution to a real-world business challenge
Target Audience
This course is designed for all business professionals, from entry level through to C-Suite, looking to enhance productivity and decision-making with AI. Moreover, it is ideal for project managers, marketers, HR professionals, administrators, consultants, entrepreneurs, digital transformation leaders and business strategists seeking to integrate AI into their workflows.
Target Competencies
- AI Tool Selection and Implementation
- Prompt Engineering for AI Interaction
- Workflow Automation Using AI Tools
- Data Analysis and Visualization with AI
- Ethical AI Use and Compliance Management
Course Outline
- Understanding AI and its applications
- Introduction to AI for non-technical professionals
- Definition and significance of Artificial Intelligence (AI)
- Evolution of AI: From rule-based systems to generative AI (ChatGPT, Gemini)
- Common myths vs. reality: What AI can and cannot do
- AI as a tool for productivity enhancement rather than a job replacement
- The AI tool landscape
- Overview of AI categories:
- Generative AI (Text and Images): ChatGPT, Gemini, DALL·E, Midjourney
- AI-assisted communication: Summaries, translations, note-taking
- AI for data analysis and workflow automation: Microsoft 365 Copilot, Power BI
- Criteria for selecting AI tools: Cost, usability, data privacy, and integration
- Overview of AI categories:
- Prompt engineering
- Introduction to prompt engineering and its significance in AI interactions
- Best practices for crafting precise and context-rich prompts
- Refining AI responses through iterative feedback
- Comparative exercises using different prompt styles in ChatGPT and Gemini
- Enhancing productivity with AI
- AI-powered tools for task automation
- Drafting emails using AI-generated suggestions
- Creating meeting summaries with AI note-takers
- Brainstorming reports and presentation ideas
- Introduction to Microsoft 365 Copilot for document creation and automation
- AI-powered tools for task automation
- Introduction to AI for non-technical professionals
- AI-powered workflows, automation, and data analysis
- Smart Assistants and chatbots
- Overview of AI assistants and their capabilities:
- ChatGPT for text generation and brainstorming
- Gemini for AI-powered search and content generation
- Microsoft 365 Copilot for enterprise-wide AI assistance
- Key differences and best use cases
- Overview of AI assistants and their capabilities:
- Automating day-to-day tasks
- Identifying tasks suitable for AI automation:
- Routine email replies and confirmations
- Scheduling follow-ups and managing calendars
- Implementing simple AI-powered automations:
- Custom GPTs for workflow automation
- Microsoft 365 Copilot shortcuts for summarizing tasks
- Identifying tasks suitable for AI automation:
- AI for data analysis and decision-making
- AI-powered data analysis and visualization:
- ChatGPT and Copilot for natural language data insights
- Power BI for AI-enhanced dashboards and trend analysis
- Predictive analytics and forecasting using AI
- Practical business applications, including budget tracking and sales forecasting
- AI-powered data analysis and visualization:
- Ethical considerations and responsible AI use
- AI and data privacy: How user data is managed
- Bias and fairness in AI-generated results
- Regulatory compliance: Overview of PDPL and other AI-related policies
- Best practices for ethical AI use in organizations
- Future AI trends
- Future of AI and emerging trends
- Advancements in AI technology: Multimodal AI, autonomous systems, AI agents
- AI applications across industries: Healthcare, finance, education
- Developing AI-readiness skills for future professional growth
- Future of AI and emerging trends
- Hands-On Project – Applying AI to a real-world challenge
- Identify a business or workflow challenge where AI can be implemented
- Practical hands-on work with ChatGPT, Gemini, Microsoft 365 Copilot, and Power BI
- Present AI-driven solutions and receive feedback
- Evaluate AI implementation success and explore future AI integration opportunities
- Smart Assistants and chatbots
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