Learn to design effective AI prompts, boost accuracy, and unlock advanced applications with ease.
β±οΈ Length: 7.4 total hours
β 4.37/5 rating
π₯ 11,754 students
π February 2026 update
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- Course Overview
- Comprehensive exploration of the Large Language Model (LLM) landscape, detailing how these neural networks process tokenized data to generate human-like text.
- Deep dive into the architecture of Generative Pre-trained Transformers, providing a solid foundation on how probability and patterns drive AI responses.
- Step-by-step methodology for moving from basic single-turn queries to complex multi-turn conversational architectures for sophisticated workflows.
- Detailed analysis of the ReAct (Reason + Act) framework, teaching students how to empower AI agents to use external tools and web browsing capabilities autonomously.
- Exploration of Tree of Thoughts (ToT) prompting, a technique designed to solve multi-layered puzzles and strategic planning problems through branching logic.
- Instruction on Delimitation Strategies, using specific characters to help the model distinguish between instructions, primary content, and user metadata effectively.
- Industry-specific modules covering specialized applications in Legal Tech, Medical Research, Financial Analysis, and Software Engineering.
- A comparative look at the leading frontier models of 2026, including GPT-5, Claude 4, and Gemini Ultra, identifying the unique “personality” and logic of each.
- Workshops focused on Hallucination Mitigation, teaching students how to implement verification loops and ground AI outputs in factual source documents.
- Advanced guidance on Persona Engineering, enabling the creation of consistent brand voices and expert-level digital consultants for various business sectors.
- Strategies for Prompt Optimization, focusing on reducing token consumption to minimize operational costs while maintaining high-quality output.
- Integration of Multi-Modal capabilities, teaching students how to prompt for image generation, data visualization, and structured audio synthesis in a single workflow.
- Requirements / Prerequisites
- Access to a modern web browser and a reliable internet connection capable of supporting high-definition video streaming for technical demonstrations.
- An active subscription or free-tier account on at least one major AI platform, such as OpenAI ChatGPT, Anthropic Claude, or Google Gemini.
- No prior programming or computer science degree is required, as the course is designed to be accessible to non-technical professionals.
- A fundamental understanding of digital productivity tools like spreadsheets and document editors to facilitate the organization of prompt libraries.
- A growth-oriented mindset and the willingness to engage in iterative experimentation, as prompt engineering is often a trial-and-error process.
- Basic English language proficiency, as the majority of the current frontier models are primary-optimized for English-based semantic instructions.
- A laptop or desktop computer is recommended over mobile devices to better manage the side-by-side practical exercises and model interfaces.
- Skills Covered / Tools Used
- Zero-Shot and Few-Shot Learning: Mastering the art of providing context and examples to steer the model toward specific, predictable outcomes.
- Chain of Thought (CoT): Forcing the AI to display its reasoning process step-by-step, which significantly improves accuracy in mathematical and logical tasks.
- Negative Prompting: Learning to define boundary constraints that tell the AI exactly what to avoid in terms of style, content, or formatting.
- JSON and Markdown Structuring: Training the AI to return data in specific code-friendly formats for seamless integration into web applications and databases.
- Temperature and Top-P Tuning: Understanding the backend parameters that control the creativity versus predictability of the modelβs responses.
- Prompt Chaining: Designing sequential workflows where the output of one AI interaction serves as the refined input for the subsequent step.
- System Message Crafting: Leveraging the system-level instructions to set permanent behavioral rules that the AI cannot easily bypass during sessions.
- Prompt Benchmarking: Using specialized tools to grade the effectiveness of different prompt versions against a set of Key Performance Indicators (KPIs).
- API Integration Basics: A high-level overview of how to translate manual prompts into Python or REST API calls for automated business scaling.
- Benefits / Outcomes
- Drastic increase in daily productivity, allowing you to automate repetitive writing, summarization, and data categorization tasks in seconds.
- Enhanced competitive advantage in the job market by acquiring “AI Literacy,” which is becoming a mandatory skill across all corporate sectors.
- The ability to build Custom GPTs and specialized AI agents that act as 24/7 assistants for your specific business or personal needs.
- Improved creative output by using AI as a brainstorming partner that can generate high-quality marketing copy, scripts, and design concepts.
- Significant reduction in outsourcing costs by handling complex technical writing and basic coding tasks internally with AI assistance.
- Development of a proprietary prompt library that can be scaled across an entire organization to ensure consistent high-quality results.
- A professional Certificate of Mastery that validates your ability to navigate the most advanced artificial intelligence systems available today.
- PROS
- Includes the February 2026 Update, making it one of the most current resources for the latest LLM iterations and features.
- Features over 30 downloadable prompt templates that can be used immediately for common business and creative scenarios.
- Highly interactive curriculum with real-world labs that challenge students to solve actual problems using the techniques they have learned.
- Access to a global community of over 11,000 students for networking, troubleshooting, and sharing advanced prompting discoveries.
- CONS
- The extremely rapid evolution of the artificial intelligence field means that specific model interfaces and button layouts may change shortly after filming.
Learning Tracks: English,Office Productivity,Other Office Productivity
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