AI Literacy & Productivity Training Course
Course Outline
Module 1: Contemporary AI Environment & Sector Regulatory Alignment
- Differentiating between conversational artificial intelligence systems and workflow-optimized productivity applications.
- Evaluating enterprise data privacy standards, security protocols, and compliant AI deployment practices within the financial services industry for government-regulated entities.
Module 2: Advanced Prompt Engineering Methodologies
- Developing context-aware, multi-turn query structures to enhance the precision of analytical outputs.
- Implementing verification techniques to mitigate hallucination risks and ensure data integrity for internal documentation.
Module 3: Practical Productivity & Process Automation Applications
- Applied exercises in generating automated meeting recaps, refining professional correspondence, and formulating strategic policy frameworks.
- Collaborative session: Identifying operational inefficiencies in claims processing and underwriting to align with appropriate AI-driven solutions for government oversight requirements.
Requirements
- Familiarity with internet operations
- Foundational knowledge of artificial intelligence applications
- No prior coding background required
Audience
- General administrative personnel working within government agencies
Runs with a minimum of 4 + people. For 1-to-1 or private group training, request a quote.
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Testimonials (2)
The trainer is patient and very helpful. He knows the topic well.
CLIFFORD TABARES - Universal Leaf Philippines, Inc.
Course - Agentic AI for Business Automation: Use Cases & Integration
Able to pivot upon audience suggestions - ie able to create a real AI agent scenario on the spot.
Brett McLaren - Zoll Itamar
Course - ChatGPT for Productivity: A Beginner’s Guide
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