Hmm, I'm not sure this is for absolute beginners. It assumes a bit of prior knowledge that wasn't explicitly taught. Some examples were confusing.
AI Foundations for Beginners: Build Essential Skills
Demystify artificial intelligence, understand generative AI, and learn essential prompt engineering techniques to upgrade your career without any prior coding experience.
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About this course
Course contents
6 modules · 29 lessons · 3h 3m
1
Foundations and History of AI
Understand the origins and distinctions between AI, ML, and Deep Learning.
- Welcome to the World of AI
Introduction to course objectives and demystifying technical jargon.6 min - A Brief History of Artificial Intelligence
From Turing machines to modern LLMs: a rapid evolution.6 min - Defining AI: Beyond Science Fiction
What we mean by artificial intelligence today in practical terms.6 min - Machine Learning: Learning from Data
The concept of automatic learning without explicit programming.7 min - Deep Learning: Neural Networks Explained Simply
How inspiration from the human brain created complex models.7 min
2
The Heart of Generative AI
Explore how generative models create content and process data.
- What is Generative AI?
Difference between discriminative AI (classification) and generative AI (creation).6 min - How a Language Model 'Thinks'
The information processing based on statistical patterns.7 min - Tokens and Probability: The Language of Bots
Understand that AI doesn't understand meaning, but predicts the next piece of text.6 min - The Transformer Architecture
The 'attention' mechanism that made ChatGPT possible.6 min - Beyond Text: Images and Video
Overview of multimodal generative models.6 min
3
Applications and Use Cases
Identify where and how AI is transforming various industries.
- AI in Everyday Life
Invisible examples of AI we already use every day.6 min - AI in Healthcare and Science
From drug discovery to assisted diagnosis.6 min - Marketing and Creativity
How AI is changing content production and customer analysis.6 min - Finance, Logistics, and Operations
Process optimization and market forecasting.6 min - Finding Opportunities in Your Industry
Exercise to identify a problem solvable with AI in your own work.7 min
4
Prompt Engineering and Workflow
Learn to communicate effectively with AI to achieve optimal results.
- The Art of Prompting
Why the way you ask determines the quality of what you receive.6 min - Structuring a Prompt: Context and Instructions
The basic formula for an effective prompt.7 min - Techniques: Few-shot and Chain of Thought
Providing examples and asking AI to reason step-by-step.7 min - Mitigating Hallucinations
Strategies to fact-check and reduce AI errors.6 min - Building a Workflow with AI
Integrating AI into a sequence of real work tasks.7 min
5
Modern Concepts: RAG and Vector Databases
Understand how AI accesses specific and up-to-date information.
- The Limit of Static Knowledge
Why models have a knowledge 'cutoff' date.6 min - What is RAG (Retrieval-Augmented Generation)
Connecting AI to external sources for precise and documented answers.7 min - Vector Databases Explained Simply
How computers organize concepts based on similarity.6 min - AI and Your Business Data
How chats that 'read' your PDFs or documents work.6 min
6
Ethics, Society, and the Future
Analyze moral challenges and the evolution of the job market.
- AI Ethics: Key Dilemmas
Responsibility, transparency, and intellectual property.6 min - Algorithmic Bias and Prejudice
How AI can inherit and amplify human biases.6 min - Privacy and Security
Protecting sensitive data when using AI tools.6 min - The Impact on Employment
Replacement vs. Augmentation: how job roles will change.7 min - Becoming an AI-Ready Professional
Strategies for continuous learning in a changing world.6 min
AI Implementation Roadmap
Develop an action plan to integrate an AI tool into a work or personal process of your choice.
What you'll get
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Certificate of completion
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Lifetime access
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Short & focused
3h 3m of practical content
Certificate of completion
Every course you complete on PickAClass issues a credential like this — original, with its own code, verifiable by URL, and detailed about what was actually demonstrated.
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