AI foundations and risk-management
AI is already inside most organizations, but understanding is not. Leaders and teams are pressured to act without a shared vocabulary, clear judgment, or practical guardrails leading to confusion, inconsistent use, and unnecessary risk.
This course builds AI fluency from the ground up. Participants gain a clear understanding of how modern AI works, how tools like GPTs should be used in practice, and how to recognize risks before they become problems. The result is confident, responsible adoption, not hype, fear, or guesswork.
About
Course breakdown (4 courses): Introduction to AI; GPT Overview; Practical Prompting; AI Risk and Governanc
Learning journey: Fundamentals Practical Skills Risk Management
Includes Introduction to AI, GPT Overview, Practical Prompting, and AI Risk and Governance
Details
Details
You'll Learn To:
- Understand how modern AI and generative technologies work across text, image, voice, and video
- Apply ChatGPT and large language models effectively to everyday work and decision-making
- Craft clear, context-rich prompts that produce reliable, high-quality AI outputs
- Recognize AI risks, debunk common myths, and use AI responsibly within real workflows
Key Questions Addressed:
- What is AI, and where does it meaningfully improve everyday work?
- How can ChatGPT be used effectively without wasted trial and error?
- Which prompting techniques reliably work across common AI tasks?
- What risks does AI introduce, and how can they be managed responsibly?
Who It's For:
- Organizations adopting AI responsibly while enabling employees to use it effectively
- Teams needing foundational AI literacy with practical risk awareness
- Leaders eeking confident, safe AI use across the workforce
What You'll Do:
- Complete four structured modules covering AI fundamentals through risk management
- Reinforce learning through quizzes and guided platform experimentation
- Practice hands-on prompting using real-world use cases
- Analyze AI risk scenarios and apply practical mitigation strategies
Program
COURSE BREAKDOWN
1
Introduction to AI
- AI history and fundamentals across modern supercycles
- Generative AI types: text, image, voice, and video
- Debunking AI myths and adopting an AI-first mindset
- Practical applications for business operations and innovation
2
GPT Overview
- Leveraging large language models to simplify tasks
- Creating custom GPTs for specific workflows
- Using agents and advanced models for deep research
- Building and configuring your own GPT tools
3
Practical Prompting
- Fundamentals of crafting effective prompts
- Core techniques and prompt recognition
- Prompting high-inference models
- Hands-on practice exercises
4
AI Risk and Governance
- Understanding AI system differences from simple automation
- Identifying bias, hallucinations, and drift
- Human-in-the-loop roles and responsibilities
- Ethical considerations and AI vocabulary
Professionals talk about us
Noah Singer
VP of Product, RIPE
Ascend brought an outside perspective with real depth that our team immediately connected with. Complex topics were presented in a way that felt approachable and practical, making it easy for people to engage without feeling overwhelmed.
Shawn Miele
CEO MyAdvice
The Ascend AI team are fantastic. We had started AI internally but had lost momentum. They helped us reignite the effort, taking a complex subject and making it understandable. They gave us hands-on time creating AI uses specific to our needs.
meet Kevin Williams
Experience:
12+ years in the AI & Data Strategy field
Current Role:
CEO Ascend AI
About the Instructor:
Kevin Williams is an expert in implementing AI in enterprise environments with over 12 years of hands-on experience. In his work, he helps companies transform business processes, create internal AI strategies, and train teams to work with generative models. Kevin is known for his ability to explain complex technology concepts in a simple and practical way, focusing on real business value and operational efficiency.
