Ready to move beyond the basics? This intensive masterclass is designed for participants who already use AI and want to unlock its full potential. Explore advanced prompting techniques, context engineering, multi-step workflows, image and video generation, and the latest capabilities of leading AI platforms including ChatGPT, Claude and Gemini. The course also examines emerging security risks, AI-assisted productivity and the future direction of artificial intelligence. Suitable for professionals, creatives and experienced AI users looking to work smarter and stay ahead of rapid technological change. Bring your laptop or tablet for hands-on practice.

DELIVERY MODE

Face to face

COURSE RESOURCES

• "Co-Intelligence: Living and Working with AI" by Ethan Mollick
• "Verified: How to Think Straight, Get Duped Less, and Make Better Decisions about What to Believe Online" by Mike
  Caulfield & Sam Wineburg
• "The Coming Wave" by Mustafa Suleyman
• "The Atlas of AI" by Kate Crawford
• ChapGPT https://chatgpt.com/
• Microsoft Copilot https://copilot.microsoft.com/
• Claude https://claude.ai/
• eSafety Commissioner (Australia) https://www.esafety.gov.au/

COURSE OUTLINE

• The Agentic Paradigm: Transitioning from simple text queries to multi-step digital workflows, executing tasks via autonomous AI agents, and leveraging deep-reasoning models.
• Advanced Context Engineering: Constructing robust, structured system prompts, programming conditional instructions into AI, and utilizing iterative output verification.
• Workflow Automation & Productivity: Harnessing native workspace integrations to instantly analyze extensive documentation, synthesize research databases, and automate scheduling.
• Next-Gen Generative Media: Deploying text-to-image and text-to-video generative AI models (including Midjourney, Runway, and Veo) for professional design assets and creative production.
• Technical Security & Countermeasures: Recognizing highly tailored automated social engineering, deepfake verification methodologies, and information accuracy validation frameworks.
• AGI, Infrastructure & Ethics: Exploring the resource economics of heavy computing data centers and the structural implications of the journey toward Artificial General Intelligence.

LEARNING OUTCOMES

By the end of this course, students should be able to:

• Architect Complex System Prompts: Deploy advanced, multi-turn "Context Engineering" frameworks to yield precise, programmatic text and research outputs.
• Automate Administrative Workflows: Integrate AI assistants to analyze long-form business intelligence, generate operational documentation, and coordinate logistics.
• Produce Generative Media Assets: Navigate advanced generation environments to produce professional-grade static images and rapid digital video prototypes.
• Mitigate Modern Digital Exploits: Implement systematic validation protocols to spot cloned communication indicators and mitigate modern digital scam vulnerabilities.
• Evaluate AI Lifecycle Impacts: Critically analyze the data integrity practices, ecological requirements, and systemic societal developments linked to the push for AGI