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Course language
Learning format
Subcategory
Price
Price may change · updated within 1–2 weeks
Course language
What You'll Learn
- Understand the core concepts of Artificial Intelligence (AI) and how it differs from traditional computer programs.
- Learn how Generative AI works and explore real-world examples like ChatGPT, image generators, and more.
- Gain insights into the lifecycle of AI models, including how they are trained, improved, and continuously developed.
- Master key AI technologies at an easy to understand level like Machine Learning, Deep Learning, and Large Language Models (LLMs).
- Explore the ethical considerations surrounding AI, including bias, transparency, and responsible use.
- Develop practical skills for writing effective AI prompts and collaborating with AI tools for better results.
- Prepare for the future by understanding how AI is transforming industries and the skills needed to stay competitive in an AI-driven world.
Best For
- Absolute beginners who want a clear, jargon-free introduction to AI technology.
- Professionals seeking to understand how to leverage AI tools in their daily workflows.
- Individuals curious about the mechanics behind ChatGPT and generative image models.
- Students looking to build a foundational knowledge of AI ethics and model training.
Not For
- Experienced data scientists or machine learning engineers seeking advanced technical implementation.
- Software developers looking for deep-dive tutorials on coding custom neural networks.
- Learners searching for complex mathematical proofs and algorithm development theory.
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About the creator
Steve Ballinger
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Reviews, Scores & Student Outcomes
Unclaimed ProfileThe "AI Fundamentals: Essential Guide to Artificial Intelligence" course, created by seasoned instructor Steve Ballinger, serves as an indispensable entry point for anyone eager to demystify the rapidly evolving landscape of artificial intelligence. Designed specifically for beginners and professionals across all industries, this concise two-hour program breaks down complex concepts like Machine Learning, Deep Learning, and Large Language Models (LLMs) into easily digestible lessons. Learners will explore the mechanics behind breakthrough Generative AI tools such as ChatGPT and digital art generators, gaining a practical understanding of how these technologies are trained and refined. Beyond the technical basics, the curriculum places a strong emphasis on the practical application of prompt engineering, helping students write highly effective prompts to collaborate seamlessly with AI systems. Additionally, the course addresses critical modern challenges, including ethical AI deployment, bias mitigation, and data transparency. By bridging the gap between theoretical computing and real-world utility, this course empowers participants to future-proof their careers and confidently navigate the AI-driven workplace.
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