Responsible Innovation Starts Here
Generative AI 101: A hands-on one hour session that gives your organization a clear, balanced understanding of AI capabilities.
Generative AI is transforming every industry you can think of. Without the right knowledge, risks like hallucinations, biases, and compliance issues can prohibit adoption. Learn how you can ensure your team is prepared to use AI safely and effectively.
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Generative AI refers to Artificial Intelligence that creates original content such as text, images, audio, or code from user prompts. The content is generated based on trained data patterns, including text, images, video, and audio. Popular examples include ChatGPT and DALL·E.
Generative AI offers organizations the capability to automate and personalize SOPs, increasing productivity, and fueling long term growth through rapid iteration. The market for generative AI is projected to reach $1.3 trillion by 2032, reflecting its significance in reshaping industries through automation, efficiency, and new value creation. -
Bias and Hallucinations: AI systems can amplify biases in training data or generate inaccurate “hallucinated” information.
Data Privacy & Security: Sensitive business information may be exposed or mishandled by unsecure AI tools.
Ethical Issues: Unregulated AI adoption may lead to poor decision-making, lack of transparency, or misuse.
Trustworthiness & Accuracy: Generative AI can produce plausible yet false or misleading content, undermining trust.
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Prompt engineering is the process of designing, refining, and optimizing structured inputs to guide generative AI systems to create detailed, high-quality outputs. Crafting effective prompts reduces errors, saves time, and improves consistency and accuracy of results. For example, IBM’s guide on prompt engineering demonstrates how to prompt for different use cases.
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We empower small-business owners and entrepreneurs who want to harness AI to boost productivity, streamline operations, and grow profits. Our services also support marketing and sales teams looking to automate content creation, customer outreach, and data analysis to drive measurable results. In addition, we guide professionals and business leaders who want to stay ahead of emerging AI trends and leverage Generative AI applications to gain a competitive edge in their industry.
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Yes, non-technical teams can benefit from the training, as modules focus on understanding core concepts, using AI tools responsibly, and applying best practices with minimal technical jargon. Clear structure and practical examples are used to ensure accessibility for all participants.
What you’ll learn
Generative AI Capabilities
Content at Scale – Automate emails, reports, and marketing copy.
Insight Extraction – Summarize complex data and surface what matters most.
Process Efficiency – Streamline workflows with AI-powered automation.
Customer Engagement – Enhance communication with clients and prospects.
Generative AI Risks
AI Hallucinations – Why AI “makes things up” and how to prevent costly mistakes.
Bias in AI Models – Understanding algorithmic bias and its business impact.
Security & Compliance – Maintaining data privacy while following regulations.
Ethical Use – Applying AI responsibly while following the “People First, People Last” philosophy.
Session Agenda
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What is Generative Artificial Intelligence?
Key Principles for Ethical AI Usage
“People First, People Last” philosophy
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Spotting AI hallucinations and accuracy gaps
Understanding AI bias and responsible use
Ethics, compliance, and data security safeguards
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What is prompt engineering?
How to design prompts for clarity, accuracy, and efficiency
Examples you can apply across tools like ChatGPT, Claude, and more
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Business applications tailored to your industry
Real examples you can start using immediately
Open Q&A to connect lessons to your team’s work
Ready To train your team For Safe, Effective AI Adoption?
Get started now, and learn how to leverage Generative AI for real business results. Contact us today to reserve your spot or ask questions.