Generative AI and Prompt Engineering For Absolute Beginners

Craft precise prompts through prompt engineering to guide generative AI like GPT-4, boosting output quality and delivering task-specific results across text, art, or code.

Discover how to craft clear, specific prompts with context and length control to maximize AI responses, with practical examples for beginners in prompt engineering.

Explore how structured outputs guide generative AI to deliver formatted responses—bullets, tables, or JSON—and apply use cases like summaries, comparisons, and ready-to-use documents.

Master how to guide generative AI with constraints on length, complexity, tone and style, and format, using word counts, sentence counts, and audience-tailored prompts.

Reveal AI's step-by-step reasoning by using chain of thought prompting, breaking problems into logical steps to improve accuracy and reveal mistakes.

Learn how AI-generated content differs from human writing and why verbatim use can raise ethics and legal issues. Use detection tools like originality.ai, Quillbot, and Turnitin to ensure originality.

Debunks the myth that superficial edits remove AI fingerprints. Shows how structure, logic, and lack of human nuance keep AI-generated text detectable and preserve originality, while outlining authentic editing approaches.

Learn how right human-ai refines ai-generated text to sound natural, engaging, and authentic, with tone options and 200-word conversion for blogs, essays, and business writing.

Explore how generative AI speeds up creating polished presentations with the cloud-based gamma app, drafting outlines from prompts and generating visuals, while emphasizing inspiration over the final product.

Learn to use the WriteSonic chrome extension to craft emails directly in Gmail with customizable tone, length, and smart suggestions, integrated from your inbox.

Explore extractive versus abstractive summarization, with word-for-word quotes versus rephrased summaries, and learn to tailor prompts by type, word limits, and audience context for effective AI summaries.

Extract handwritten whiteboard text with OCR, then summarize and digitize brainstorm notes with AI tools such as ChatGPT, Copilot, and Claude. Structure these notes into action items and roadmaps.

Understand applicant tracking systems use OCR to scan resumes for skills, titles, and experience, and learn ATS-friendly do's and don'ts to craft a simple, keyword-focused resume.

Explore how jobscan.co helps assess ATS compatibility, compare a poorly written resume with an ATS-friendly one, and apply simple formatting tips to boost your ATS score.

Use AI to generate resume content, analyze job descriptions, optimize keywords, and tailor tone and formatting for ATS success with STAR-driven results.

Explore the canvas mode in ChatGPT to create and edit long documents with live inline surgical editing, and iterate to produce polished proposals, reports, or spreadsheets.

Use ai to generate a comprehensive project plan in minutes, covering executive summary, scope, work breakdown structure, timelines, budget, resources, risks, and stakeholder communication.

Plot the work breakdown structure and timeline with AI, producing a visual WBS and a Gantt chart to strengthen your project planning; convert to a flowchart for your reports.

Explore the study and learn mode in ChatGPT as your personal tutor, delivering step-by-step, interactive guidance to practice skills like SQL, Python, and Excel.

Discover how study and learn mode generates interactive quizzes for exam preparation and certifications, with interactive feedback and a project-based, step-by-step approach that delivers hands-on learning.

Apply the Pareto principle to your tasks using a time-tracking log and ai prompts to identify the 20% that drive 80% of productivity, then focus and batch low-impact work.

Discover prebuilt GPTs, ready-to-use models tuned for tasks like flowcharts, mind maps, and sequence diagrams, delivering specialized responses without extra training.

Explore prebuilt GPT image generators and learn to craft specific prompts to control lighting, texture, resolution, and color palettes for high quality visuals, usable in presentations and reports.

Use Video GPT by Weed to generate tailored videos from prompts specifying length, tone, and audience, with draft scripts and editable video links plus media replacement and captions.

Explore Canva, a prebuilt GPT, to rapidly generate graphics for seasonal sales with 50% off and social media posts, guided by prompts on message tone and usage.

Organize long, complex tasks in ChatGPT with projects—a dedicated workspace to upload and reuse documents, manage threads, and preserve context across conversations.

Master prompt chaining to link multiple prompts, break complex tasks into subtasks, and incrementally develop a solution from competitor analysis to market gaps and product strategy.

Compare zero-shot, one-shot, and few-shot prompting to see how sharing examples improves accuracy and specificity, while highlighting zero-shot limits in domain knowledge, creativity, and complex tasks.

Learn how one-shot prompting uses a single example to tailor AI responses, compared with zero-shot prompting, and see how to craft prompts that shape style and format.

Learn how few-shot prompting provides broader context through multiple examples, improving consistency and handling nuanced tasks, with real-world classification and data extraction scenarios.

Learn how branching in chatgpt lets you explore multiple prompts and tones in parallel, compare results, and preserve the main thread while iterating safely.

Prompt libraries provide curated, pre-built prompts optimized for tasks, boosting time efficiency and results through expert optimization, while serving as a learning tool and often available for free.

Discover how AI hallucinations generate plausible sounding false outputs that can lead to real-world consequences, with examples from Air Canada, EEOC cases, and the need for human vetting.

Explore the five main types of AI hallucinations: fabrication, agreement bias, prompt contradiction, image hallucinations, and code hallucinations, and learn how unpredictability and model updates affect accuracy and safety.

Large language models generate human-like text but hallucinate due to imperfect training data. They also inherit bias, outdated information, and limits in pattern recognition and independent verification.

Learn how to minimize ai hallucinations with prompt engineering techniques, including self-audit prompts and chain-of-thought prompting. See how providing additional references and data citations narrows search space and improves accuracy.

Explore the difference between large language models and search engines, and learn how Perplexity AI integrates real-time web sources with AI for verifiable, citable answers.

Leverage perplexity's live web search to compare real-time Singapore fitness app market data with ChatGPT and verify sources with citations.

Discover how Perplexity academic mode sources peer-reviewed research to back business cases and decisions, with clear comparisons to standard and deep research modes for verification.

Explore how to craft high converting social media ads using the AIDA framework—attention, interest, desire, and action—through effective hooks, trust-building, and clear calls to action.

Explore how to generate catchy ad headlines using ai tools like copy.ai, apply the aida framework, and tailor prompts to audiences such as new york professionals for effective campaigns.

Learn to generate complete Facebook ads with Copy.ai, create three variations with audience, tone, benefits, and a call to action, and run A/B testing to optimize performance.

Explore Google Ads' intent-based targeting and direct conversions, and learn to craft ads with the AIDA framework in Copy.ai using a clear headline, description, and CTA.

Discover how to design effective Google Ads by avoiding keyword overload, matching copy to user intent, using structured snippets, strong calls to action, and testing variations with a/b testing.