This hands-on course teaches data professionals how modern AI — especially large language models (LLMs) like ChatGPT and Google Gemini — integrates into analytics workflows. You’ll start with the AI landscape and history, move into how generative AI and transformers work, and learn practical access and usage for ChatGPT/Gemini. The core of the course focuses on safe, productive use: identifying common pitfalls (hallucinations, context gaps, black-box issues), verifying AI outputs, and applying LLMs to real analyst tasks (code/formula generation, query optimization, visualization guidance, data cleaning, and sample-data generation). The final section teaches prompt engineering (clarity & specificity, role assignment, tone & audience, iterative refinement) with concrete examples in Excel, SQL, Python, and BI tools so you can get reliable, high-value results from AI today.
Learn how setting the right tone in prompt engineering improves AI responses. Discover practical prompt engineering tips to get clearer, more accurate results from ChatGPT and Google Bard.
Learn how being clear and specific in prompt engineering dramatically improves AI outputs. Discover practical examples, Excel use cases, and expert tips for writing effective AI prompts.
Learn how to access ChatGPT and Google Gemini for free. This step-by-step beginner guide explains sign-up, requirements, and how to start using today’s most popular AI tools.
Artificial intelligence is powerful but imperfect. Learn about AI hallucinations, accuracy issues, lack of context, and why human verification is essential for responsible AI use.
ChatGPT became the fastest-growing product in history, reaching 1 million users in just five days. Explore how this unprecedented AI adoption is transforming industries and accelerating the global AI revolution.
Discover the evolution of artificial intelligence—from early neural networks and AI winters to deep learning, transformers, and ChatGPT. Learn how 60+ years of breakthroughs led to GPT-4 and modern generative AI.
