Generative AI for Beginners: Prompt Engineering & AI Tools

Build a strong foundation in generative AI by exploring core concepts, high-level workings, differences from traditional AI, real-world uses across roles, and practical productivity tips.

Generative AI is artificial intelligence that creates new content based on the user's prompt, generating text, images, code, audio, and videos.

Demonstrate generative AI in action by using ChatGPT to write a professional email and generate a brand-new image from a prompt, showing text and image creation via prompts.

Compare traditional AI with generative AI, showing how traditional AI analyzes data to make decisions, while generative AI creates new content from prompts, demonstrated by emails, product recommendations, and code.

Generative AI boosts speed, learning, and productivity through tasks like chapter summaries, code explanations, and marketing content, acting as a tool—not a replacement—for human thinking.

Explore how generative ai supports the entire software development life cycle, from drafting login requirements and generating code to creating test scenarios, boosting productivity and speed.

Generative ai acts as a smart assistant to help you work faster, create better output, and learn faster. You review ai results and apply your knowledge to make better decisions.

Define generative AI and its ability to create content like text, images, and codes; contrast it with traditional AI and highlight productivity benefits for the future, with a ChatGPT preview.

Discover how ChatGPT answers prompts to write emails, summarize documents, generate ideas, and more, powered by a large language model. Navigate user interface and learn about free and paid versions.

Explore how ChatGPT works behind the scenes through a three-step flow: enter a prompt, send to the large language model, and display the response.

Discover how a large language model powers ChatGPT by understanding prompts and generating human-like responses, trained on vast text by AI companies like OpenAI, Google, Anthropic, and Meta.

Learn how tokens work as the building blocks of prompts. A large language model reads and processes each token from your prompt to understand and answer.

Explore popular AI applications such as ChatGPT, Gemini, Cloud, and Copilot, and the underlying LLM models, clarifying the difference between AI applications and large language models.

Explore Cloud by Anthropic and compare responses from ChatGPT and Gemini using the prompt box; learn that prompt writing stays the same while model differences shape output.

Explore common prompt mistakes in beginners, such as being too general, and learn to craft clear prompts with audience and style in mind to improve AI responses.

Learn how chain of thought prompting guides AI to think step by step before answering, breaking problems into steps, understanding the prompt, and revealing the reasoning behind the final result.