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Prompting Basics for Claude
.MP4, AVC, 1920×1080, 30 fps | English, AAC, 2 Ch | 21m | 49.8 MB
Instructor: Dan Tofan​

Getting useful results from AI requires effective prompting. This course will teach you practical prompting techniques for Claude AI to boost your productivity in analysis, documentation, and business tasks.

What you’ll learn

Many professionals struggle to get consistent, high-quality results from AI assistants because they don’t know how to communicate their needs effectively. In this course, Prompting Basics for Claude, you’ll learn practical techniques to craft prompts that produce reliable, useful outputs.

First, you’ll explore how to structure prompts using clarity, context, and the Role-Task-Context-Format framework. Next, you’ll discover techniques like iterative refinement and chain-of-thought prompting to improve your results. Finally, you’ll learn strategies including few-shot prompting and how to handle Claude’s limitations.

When you’re finished with this course, you’ll have the skills and knowledge of effective prompting needed to use Claude AI confidently for your business analysis work.

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Prompt Engineering with Gemini
.MP4, AVC, 1280×720, 30 fps | English, AAC, 2 Ch | 1h 2m | 158 MB
Instructor: Denys Linkov​

Gemini (formerly known as Bard) is a generative AI model from Google with powerful multimodal capabilities and integrations. In this course, Denys Linkov gives an introduction to Gemini, showing you how to perform a variety of everyday tasks like brainstorming ideas, writing emails, browsing the web, and even planning a vacation. He covers advanced prompts you can use to improve results, and illustrates multimodal functionality by showing you how you can use Gemini to analyze and generate images and search and summarize YouTube videos.

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Free Download Prompt Engineering Pro Patterns & Prompt Architecture
MP4 | Video: h264, 1280×720 | Audio: AAC, 44.1 KHz
Language: English | Size: 1.12 GB | Duration: 1h 53m
Design systematic prompts, master LLM patterns, reduce hallucinations, and build reusable AI workflows
What you’ll learn

Understand how Large Language Models (LLMs) generate responses and why outputs vary
Design structured, multi-step prompts instead of one-off requests
Apply professional prompt patterns (Persona, Question Refinement, Fact Check List, etc.)
Combine Zero-shot, Few-shot, Chain-of-Thought, and ReAct techniques for complex tasks
Reduce hallucinations and improve output accuracy using validation strategies
Build reusable, scalable prompt systems for professional workflows
Requirements
Basic experience using any AI tool (e.g., ChatGPT or other LLM-based systems)
Willingness to approach prompt engineering systematically and work with structured techniques
Description
Most prompt engineering courses teach phrases that "always work." This course takes a different approach.Instead of memorizing prompts, you will learn how to design them as structured systems.Prompt engineering is not about guessing wording. It is about understanding how Large Language Models (LLMs) process instructions, structure reasoning, and generate outputs. Once you understand the architecture, you can control the system more consistently and get more reliable results.In this course, you will learn how toesign multi-step promptsApply professional prompt patterns such as Persona, Question Refinement, and Fact Check ListCombine Zero-shot, Few-shot, Chain-of-Thought, and ReAct techniques for complex tasksReduce hallucinations and improve reliabilityValidate and audit AI outputs using structured checksBuild reusable and scalable prompt frameworks you can apply repeatedlyThe course is practice-oriented. Each pattern is explained clearly and applied to realistic professional scenarios, so you can immediately transfer the techniques into your own work.This course is especially valuable for analysts, legal professionals, researchers, developers, and strategic marketers who work with complex information and need structured AI outputs. If you want to manage an LLM as a tool – rather than rely on trial and error – you will benefit from this systematic approach.By the end of the course, you will be able to design reproducible, testable, and scalable prompt systems for professional and analytical tasks. This is a systematic, architecture-focused approach to prompt engineering.
Analysts and researchers working with complex information,Legal professionals and documentation specialists,Developers and technical professionals using AI tools,Strategic marketers working with content and analytics,Advanced AI users who want systematic control over LLMs
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https://www.udemy.com/course/prompt-engineering-pro-patterns-prompt-architecture/

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Free Download Prompt Engineering for Work Fast AI Prompt Mastery
Published 3/2026
Created by Steve Ballinger, MBA
MP4 | Video: h264, 1280×720 | Audio: AAC, 44.1 KHz, 2 Ch
Level: All Levels | Genre: eLearning | Language: English | Duration: 48 Lectures ( 3h 20m ) | Size: 2.2 GB

Master prompt techniques, prompt patterns, and prompt templates to improve AI results at work from AI tools faster.
What you’ll learn
✓ Effective Prompt Crafting: Master the skill of creating prompts that provide clear & concise instructions, context, and cues to guide AI-generated responses.
✓ Prompt Patterns & Templates: Follow these step x step examples and adapt the prompts to your unique prompting and ChatGPT needs.
✓ Advanced Prompts: Like Chain of thought, Zero shot, Few shot, ReAct prompting, Self-Consistency prompts, Multi-Model prompts, Randomization prompts, and more!
✓ Challenges, Limitations And Ethics of Prompt Engineering: How to make better prompts for ChatGPT and other AI tools.
✓ Text-To-Text & Text-Image Prompting: Examples and best practices to adapt prompts to different AI platforms and AI tools.
✓ Prompt Refinement: Learn the process of iteratively improving prompts through experimentation and feedback, leading to consistent enhancement of AI responses.
Requirements
● No prerequisites other than the desire to interact even better with AI models through improved prompting.
Description
Write better prompts, use proven prompt techniques and templates to get better results from AI tools you use at work.
Transform the Way You Use AI at Work
Artificial Intelligence is changing how we work but most people are not getting the results they want.
Why?
Because they struggle to write effective prompts.
This course will teach you how to use prompt engineering to unlock the full power of AI tools like ChatGPT, Google Gemini, and Claude.
The key idea
Better prompts = Better AI results = Better work outcomes
And the best part?
Everything you learn can be applied to any AI tool, not just one platform.
What student are saying about Steve’s AI courses
"I love that the sessions are in bits. These make the sessions easy to follow and understand." -Owalabi O
"I enjoyed the instructors positive attitude and personality. Kept me engaged."-Bridgett
"I consider myself an intermediate user of ChatGPT, but it was the tie-in to business that was really helpful. I have recommended this course to professional friends who are interested in ChatGPT." -Neil C
"Really liked all of the different examples that were shown on how to actually use the program" -Gregory S
What Makes This Course Different
This is not a technical course.
This is a practical, real-world course designed for
• Business professionals
• Leaders and individual contributors
• Anyone who wants to use AI more effectively at work
You’ll learn how to think, structure, and write prompts, not just copy random examples.
What You Will Learn
By the end of this course, you will be able to
• Write high-quality prompts that produce clear, useful AI outputs
• Use prompt engineering techniques to guide AI responses
• Apply prompt patterns and templates you can reuse again and again
• Improve AI results for real tasks like writing, planning, and decision-making
• Turn AI into a true productivity tool-not just a novelty
Core Topics Covered
This course is structured to take you from foundations → systems → real-world application
Prompt Engineering Fundamentals
• Role prompting
• Few-shot prompting
• Chain-of-thought reasoning
• Structured outputs
• Constraints and context
Prompt Patterns and Templates
• Repeatable prompt frameworks
• Proven prompt templates (TAO, AOA, DAO, and more)
• Writing, summarizing, translating, and creating prompts
Advanced Prompting Techniques
• Zero-shot vs. few-shot prompting
• ReAct prompting
• Self-consistency prompting
• Multimodal prompting (text + images)
• AI image prompting basics
Real-World Applications
• Email writing
• Planning and prioritization
• Summarization
• Brainstorming
• Writing and editing
• Presentations and visuals
• Decision-making and collaboration
Challenges and Limitations
• AI hallucinations
• Ethical considerations
Building Your Prompt Library
• Create reusable prompts
• Organize your prompt playbook
• Scale your AI usage over time
Full Course Curriculum
Section 1: Prompt Engineering Key Techniques
• Welcome: Why Prompt Engineering Is a Critical Skill at Work
• Using Role Prompts to Guide AI Responses
• Few-Shot Prompting: Teaching by Example
• Chain-of-Thought Prompting for Better Reasoning
• Getting Structured Outputs from AI
• Persona-Targeted Prompting for Specific Audiences
• Using Constraints to Get Better AI Results
• Multi-Turn Prompting: Working with AI Interactively
• Retrieval and Reference Prompting with File Uploads
• Rewrite and Expansion Prompting Techniques
• Scenario and Simulation Prompting
• Workflow Prompting for Multi-Step Tasks
• Evaluation and Scoring Prompting
Section 2: Prompt Patterns That Can Be Used Over and Over
• Master the Flipped Interaction Prompt Pattern for Better AI Responses
• Use the Cognitive Verifier Prompt Pattern to Improve Accuracy
• Refine Better Questions with the Question Refinement Prompt Pattern
Section 3: Leveraging Repeatable Prompt Templates
• Use the Task-Action-Object (TAO) Template to Write Stronger Prompts
• Improve Prompt Clarity with the Attribute-Object-Action (AOA) Template
• Write More Precise Prompts with the Description-Attribute-Object (DAO) Template
• Use Question-Answer and List-Item Templates for Fast, Clear Results
• Create Better Outputs with the Design (DS) Prompt Template
• Write Faster and Better with the Write (WR) Prompt Template
• Translate and Rewrite Creatively with TR and TC Prompt Templates
• Build Better Stories with the Create a Storyline (CS) Prompt Template
• Create Clear Step-by-Step Instructions with the How-To (HT) Prompt Template
• Summarize Anything Faster with the Summarize (SM) Prompt Template
• Create Almost Anything with the Create (CR) Prompt Template
• Generate and Debug Code with AI Using the Right Prompt Template
Section 4: Advanced Prompting Methods That Are Powerful and Still Easy to Learn
• Think Step by Step with Chain-of-Thought Prompting
• Use ReAct Prompting to Make AI More Logical and Action-Oriented
• Get Results Instantly with Zero-Shot Prompting
• Improve AI Output with Few-Shot Prompting and Real Examples
• Zero-Shot vs. Few-Shot Prompting: What’s the Difference?
• Boost Reliability with Self-Consistency Prompting
• Use Multimodal Prompts to Work with Text, Images, and More
• Text-to-Image Prompting Made Simple: Getting Started with AI Art
• Best Practices for Writing Better AI Image Prompts
Section 5: Practical Application of Prompting Best Practices
• Writing and Editing Better Work Emails with AI
• Planning and Prioritizing Tasks with AI
• Summarizing and Extracting Key Points with AI
• Brainstorming and Generating Ideas with AI
• Improving Writing and Rewriting with AI
• Creating Visuals and Presentations with AI
• Collaborating with AI as a Thought Partner
Section 6: Challenges, Limitations, and Ethics of Prompt Engineering and AI
• Key Challenges, Limitations, and Ethics of AI and Prompt Engineering
• The Big Challenge of AI Hallucinations
Section 7: Building a Prompt Library and Next Steps
• Building an Effective Prompt Library
• Key Next Steps and Best Practices to Take Now (Course Wrap-Up)
Who this course is for
■ Perfect for those who want to get the most of out their AI tools.
■ Excellent for people who feel AI like ChatGPT and Copilot are just does not seem to be working well for them.
■ Great for those who want to go even deeper with and get better results when leveraging AI.
■ Wonderful for those who want to get further in their career and using AI effectively to assist them in their jobs.
Homepage
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https://www.udemy.com/course/prompt-engineering-for-work-fast-ai-prompt-mastery-course

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Free Download Prompt Engineering for Product Management and Design
Released 4/2026
By Jeff Hurd
MP4 | Video: h264, 1280×720 | Audio: AAC, 44.1 KHz, 2 Ch
Level: Beginner | Genre: eLearning | Language: English + subtitle | Duration: 30m 42s | Size: 68 MB

Generic AI outputs and the risk of hallucinations often prevent product teams from trusting language models with critical work.
What you’ll learn
Generic AI outputs and the risk of hallucinations often prevent product teams from trusting language models with critical work. In this course, Advanced Prompt Engineering for Product and Design, you’ll gain the ability to design and operationalize reusable prompt frameworks that support collaborative product and design workflows. First, you’ll explore advanced discovery techniques like context anchoring and synthetic user testing to ground your research in reality. Next, you’ll discover how to optimize output quality using few-shot critique loops and reverse engineering to align ai with your specific design voice. Finally, you’ll learn how to safely operationalize these tools by building team prompt libraries and using iterative chain-of-thought sequencing for complex tasks like roadmap planning. When you’re finished with this course, you’ll have the skills and knowledge of prompt engineering needed to transform AI from a novelty into a trusted, high-leverage member of your product team.
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Free Download Prompt Engineering for Developers with Google Gemini
Released 4/2026
By Laurentiu Raducu
MP4 | Video: h264, 1280×720 | Audio: AAC, 44.1 KHz, 2 Ch
Level: Beginner | Genre: eLearning | Language: English + subtitle | Duration: 21m 10s | Size: 41 MB

AI applications required highly engineered prompts.
What you’ll learn
AI applications required highly engineered prompts. In this course, Prompt Engineering for Developers with Google Gemini, you’ll gain the ability to build robust, deterministic AI-powered applications that behave like software, not just a chat bot.
First, you’ll explore structured output techniques, specifically leveraging JSON Mode and system instructions to ensure Gemini returns data your backend can actually parse. Next, you’ll discover multimodal engineering, learning how to pass images, video, and massive documentation sets directly into the model’s native context window for complex reasoning. Finally, you’ll learn how to fine-tune model parameters like Temperature and Top-P to balance creativity with the strict reliability needed for production code. When you’re finished with this course, you’ll have the skills and knowledge of Gemini-specific prompt architecture needed to ship high-performance, AI-driven features with confidence.
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https://app.pluralsight.com/ilx/video-courses/prompt-engineering-google-gemini-developers/course-overview

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Free Download Prompt Engineering for Communications
Released 03/2026
By Lucian Lazar
MP4 | Video: h264, 1280×720 | Audio: AAC, 44.1 KHz, 2 Ch
Level: Beginner | Genre: eLearning | Language: English + subtitle | Duration: 23m 55s | Size: 58 MB

Every day, communications professionals draft messages with the help of AI, but most are stuck in a cycle of generic outputs, inconsistent tone, and starting from scratch every time.
What you’ll learn
Every day, communications professionals draft messages with the help of AI, but most are stuck in a cycle of generic outputs, inconsistent tone, and starting from scratch every time.
AI doesn’t sound like your brand, it doesn’t adapt to your audience, and every team member gets different results.
Luckily, the problem isn’t the technology, it’s the prompting.
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Free Download Prompt Engineering for Business Analysts
Published 4/2026
MP4 | Video: h264, 1920×1080 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English | Duration: 1h 44m | Size: 1.57 GB
Master practical prompt engineering to create consistent, decision-ready BA artefacts with Generative AI

What you’ll learn
How prompt engineering works as a practical discipline to create consistent, decision-ready BA artefacts instead of generic text.
How to apply the core prompt structure (Role & Goal, Context, Inputs, Task, Output Format, Quality Checks) for reliable business analysis outputs.
How to diagnose weak prompts, fix them instantly, and turn vague requests into clear, actionable BA deliverables.
How to identify GenAI risks, apply prompt-level controls, select the right models, and run effective Human-in-the-Loop workflows.
Requirements
A basic understanding of the Business Analysis lifecycle (e.g., Requirements gathering, stakeholder management).
An active account with a Large Language Model (e.g., ChatGPT, Claude, or Gemini) for practicing prompt iterations.
An understanding of user stories and iterative development.
Access to software for capturing Requirements and process maps (Word, Confluence, or similar).
Description
Are you a Business Analyst tired of getting vague, inconsistent, or unreliable outputs from ChatGPT, Claude, or Gemini?
This hands-on course teaches you exactly how to engineer prompts that turn Generative AI into a professional, auditable extension of your BA toolkit – delivering clearer Requirements, faster analysis, stronger controls, and better decisions.
You will learn the complete Core Prompt Structure (Role & Goal, Context, Inputs, Task, Output Format, Quality Checks) and apply it immediately to real BA work. Through practical case studies you will discover how to transform weak, ambiguous prompts into high-value deliverables such as executive summaries, Requirements documents, process maps, RACI matrices, and stakeholder insights.
By the end of the course you will be able to:
• Diagnose and instantly improve weak prompts
• Identify common Generative AI risks (hallucinations, bias, compliance issues) and apply prompt-level controls to mitigate them
• Select the right AI model for each task
• Use risk-based governance with a decision matrix
• Run effective Human-in-the-Loop (HITL) workflows
Perfect for practicing Business Analysts, Product Owners, Requirements Engineers, and Process Analysts who already create business artefacts and now want to make AI work reliably and repeatably. No prior AI or prompt engineering experience is required – only your existing BA expertise.
Stop wasting time on follow-up questions and start producing decision-ready outputs every single time.
Enroll today and future-proof your BA career with prompt engineering.
Who this course is for
Business Analysts (and closely related roles such as Product Owners, Process Analysts, Requirements Engineers, and Digital Transformation Leads) who want to use Generative AI effectively in their day-to-day work.

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