AI Business Productivity Webinar Part 3, taking it to the next level!
Overview
Join us for the final part of our AI Business Productivity series, where we explore the cutting edge of AI breakthroughs and how to harness them in your day-to-day work. This one-hour interactive session is packed with practical strategies and tools to elevate your productivity without requiring any coding.
Overview
The AI Explosion: Big Shifts, Bigger Wins
In this closing session, we unpack the latest in AI, from generative tools to advanced language models. You'll learn how these technologies are reshaping industries, the core principles behind how they work, and how to practically apply them to save time, reduce errors, and streamline your workflow.
What You’ll Learn
💥 AI Breakthroughs: Understand why we’ve hit an AI tipping point and how LLMs and generative tools are changing the game across sectors.
🧠 How It Works: Get clear on AI vs. machine learning vs. neural nets. Learn the basics of training, inference, bias, and real-world limitations.
🧮 The Languages Behind AI: Know when to go no-code or dive deeper. Explore the tools and languages behind AI—from Google Sheets to NoSQL and prompt structuring.
🧰 Prompt Engineering: Learn how to structure your inputs for maximum value, using templates, variables, and clear context.
⚙️ Tools in Action: See AI at work in writing, project management, research, and automation. From ChatGPT and ElevenLabs to Zapier and Notion, we’ll show you what’s possible.
Why Attend?
✅ Expert-Led: Designed by hands-on AI pros who know what works
✅ Immediate Value: Walk away with tactics you can apply the same day
✅ Accessible: No coding required—just curiosity and a browser
✅ Future-Ready: Stay ahead of the curve in a fast-moving landscape
Book your spot today and make the AI explosion work for you—not against you.
Good to know
Highlights
- Online
Location
Online event
1. AI Explosion Overview
Breakthroughs in LLMs & Generative AI, Why We’ve Reached an AI Tipping Point, Real-World Impact Examples across industries
2. Understanding AI
AI vs. Machine Learning vs. Neural Networks, How AI Works: Training vs. Inference, Limitations & Biases: What to watch out for
3. Languages Behind AI
Programming Languages: When to code vs. go no-code, Model Languages: Structuring inputs effectively, Database Options: From Google Sheets to NoSQL, (Optional deep dive) Programming and Model Language Examples
Frequently asked questions
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