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Unclaimed ProfileThe Complete Prompt Engineering for AI Bootcamp (2026) is a comprehensive, forward-looking masterclass designed to bridge the gap between creative prompt design and robust software engineering. Created by industry expert Mike Taylor, this course is tailored for developers, creators, and business professionals who want to transition from basic AI users to proficient AI engineers. Throughout this hands-on boot camp, you will explore the deep mechanics of next-generation models like GPT-5, Veo3, Midjourney, and GitHub Copilot. Unlike generic tutorials, this curriculum focuses on the rigorous "Five Principles of Prompting" alongside practical Python coding patterns necessary for scaling AI applications in production environments. With over 20 real-world projects, you will construct functional AI-driven products, mastering both text-based reasoning and advanced image synthesis. By examining the structural strengths and limitations of contemporary LLMs and diffusion models, you will gain the tactical foresight required to build reliable, secure, and highly efficient automated workflows. This course is your ultimate launchpad for securing a competitive edge in the evolving 2026 AI job market.
About the creator
Mike Taylor
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Mike Taylor is a dedicated AI practitioner and educator who specializes in bridging the gap between complex artificial intelligence systems and practical, everyday applications. As the co-author and instructor behind "The Complete Prompt Engineering for AI Bootcamp (2026)", Mike focuses on giving students actionable, hands-on experience with Large Language Models (LLMs). His teaching philosophy centers on demystifying the "black box" of generative AI, translating technical jargon into clear, structured frameworks that anyone can implement. Rather than just showcasing what AI can do, Mike guides learners through the exact mechanics of how to write, test, and optimize prompts to achieve highly…Show more
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Program Overview
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Learning format
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Price
Price may change · updated within 1–2 weeks
Course language
What You'll Learn
- Master the core mechanics of top-tier generative models including GPT-5, Midjourney, and Veo3 to predictably direct AI outputs.
- Apply the "Five Principles of Prompting" to systematically eliminate model hallucinations and secure professional-grade text results.
- Construct and execute over 20 real-world projects that blend complex image generation with multi-step structured text reasoning.
- Implement programmatic Python coding patterns to call APIs, handle rate limits, and orchestrate automated chains of thought.
- Deploy robust safety guardrails, prompt templates, and evaluation methods to scale AI systems safely in professional production environments.
- Optimize prompt chaining and contextual engineering techniques to significantly reduce token costs while improving application accuracy.
- Utilize AI-assisted development tools like GitHub Copilot to accelerate software engineering and rapid application prototyping.
Best For
- Software developers looking to integrate LLMs into production-grade applications.
- Tech-forward professionals aiming to build and scale automated AI workflows.
- Creatives who want to transition from manual prompting to systematic engineering.
- Aspiring AI engineers seeking hands-on experience with modern model APIs.
Not For
- Absolute beginners looking for a non-technical introduction to basic chatbot interfaces.
- Researchers focused exclusively on the theoretical mathematics behind neural network architecture.
- Individuals seeking basic 'copy-paste' prompt templates without wanting to learn coding or API integration.
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