AI Tools & Automation for Professionals

What you'll learn

• Explain how generative AI and LLM-based tools work at a practical professional level
• Choose appropriate AI capabilities based on task, information, integration and risk
• Build high-performance prompts using goals, context, inputs, constraints, outputs and quality criteria
• Apply advanced prompting using examples, decomposition, iteration and structured outputs
• Use AI for writing, meetings, research, analysis, documents, spreadsheets, data and presentations
• Design multimodal workflows across text, images, audio and video
• Identify strong automation opportunities and map triggers, conditions, actions and human checkpoints
• Design no-code AI-enabled workflows with validation, exception handling, logging and notification
• Explain AI agents, tool use, permissions, context and human-in-the-loop controls
• Verify AI-generated information and manage hallucination risk
• Apply privacy, confidentiality, data minimization, security, fairness and responsible-AI principles
• Create a personal approach to AI productivity that preserves human judgment and accountability