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Master practical AI prompt engineering techniques with Python coding applications
We dove into The Complete Prompt Engineering for AI Bootcamp (2025) expecting another generic AI course, but what we found was something more substantial. Created by Mike Taylor, a data-driven technical marketer who's taught over 300,000 students on LinkedIn Learning, this course takes a refreshingly practical approach to prompt engineering.
Here's what caught our attention: this isn't just about typing better ChatGPT prompts. The course integrates Python coding throughout, which immediately sets it apart from the flood of prompt-only courses we've reviewed. With 22 hours of video content, Taylor covers working with GPT-4, Stable Diffusion, and other major AI tools, but always through the lens of actual implementation.
The course structure reveals its true nature, it's designed for people who want to build things with AI, not just chat with it. Students learn to craft prompts programmatically, manipulate AI outputs through code, and integrate these tools into real workflows. We noticed the curriculum includes modules on software development with AI assistance, which makes sense given the Python prerequisite.
What's particularly interesting is Taylor's background. As co-founder of a 50-person marketing agency, he brings a business perspective that shows throughout the content. The course doesn't just teach techniques, it explains when and why to use them in professional contexts.
One quirk we discovered: while marketed for 2025, the course appears to be regularly updated to include new AI developments. This matters in a field that changes monthly. The emphasis on coding might surprise some expecting a gentler introduction, but for those ready to get their hands dirty with actual implementation, this depth is exactly what's needed.
Intermediate (Some Foundational Knowledge Recommended)
Self-Paced (Work On Your Own Schedule)
Learn A New Skill
Students appreciate the comprehensive coverage and practical coding focus, though some struggle with the technical requirements and occasional audio issues
"This is a very good introduction about how AI can be prompt-engineered. The instructor knows what he's talking about and presents it very clearly." - Hina Josef Teahuahu
"The course is quite detailed, I think almost every topic is covered. I liked the coding parts especially." - Gyanesh Sharma
"Awesome and Detailed Course. Helped a lot to understand the nuances of prompt engineering in AI." - Prasanna Venkatesa Krishnan
"Good content but at few steps voice sounds very robotic, which is funny considering the course is about AI." - Shrish Shrivastava
"This course is a legit practical course for prompt engineering, but some of the course is for intermediate or advance people in Python programming." - J Arnold Parlindungan Gultom
Limited discussion on Reddit and Quora, though when mentioned in AI learning threads, it's recognized as one of the more technical options available. No significant controversy or negative sentiment found
Students find genuine value here, particularly those comfortable with coding who want to level up their AI implementation skills
Claims to teach "practical techniques to harness AI power for professional applications" checks out. Students report successfully implementing learned techniques in their work
Listed at $119.99 but frequently discounted to $15-25 during Udemy sales, which run almost constantly. This is standard Udemy practice
No aggressive upsells found. Taylor has other courses but doesn't push them within this content
Multiple verified reviews mention applying techniques professionally. One reviewer notes being "more effective using coding assistants," another successfully implemented AI in content creation workflows
Marketing is straightforward and accurate. The Python requirement should be more prominent, but claims about practical skills are substantiated by student outcomes
Udemy provides reliable video streaming with features like speed control, notes, and progress tracking. Platform stability is excellent
Lifetime access with ability to download videos through mobile app. All resources remain available indefinitely
Full mobile app support, though coding exercises obviously work better on desktop. Videos and theory sections work well on mobile
Standard internet connection (5+ Mbps recommended), computer for coding portions, Python environment setup required
Udemy's platform handles this technical content well, with one notable exception: the reported audio quality issues in some sections. We appreciate the lifetime access model, especially for a technical course that students will likely reference repeatedly. The ability to adjust playback speed helps when reviewing complex code sections. Progress tracking and note-taking features support the self-paced learning style. While mobile access exists, this course clearly works best on a proper computer where you can code alongside lessons. The platform reliability means technical issues won't interrupt your learning, though those audio problems in certain modules do impact the experience.
Audio quality issues noted by multiple reviewers, some sections use text-to-speech narration. Python difficulty barrier not clearly advertised upfront
No reported issues, Udemy's standard 30-day guarantee applies without complications
Generally transparent, though the Python requirement could be more prominently displayed. Standard Udemy pricing tactics apply
Consistently positive about content quality, criticisms focus on technical aspects rather than misleading claims
Minor technical issues and prerequisite clarity concerns, but no major red flags. The course delivers what it promises for those properly prepared
At the typical sale price of $20-25, this course offers exceptional value for 22 hours of technical content. Even at full price, the depth of programming integration justifies the cost for those who need these skills
After thorough review, we can confirm The Complete Prompt Engineering for AI Bootcamp (2025) is a legitimate, technically robust course that delivers on its promises, with important caveats. Mike Taylor's expertise shows through the practical, code-first approach that distinguishes this from surface-level prompt engineering courses flooding the market.
The course excels at teaching programmatic AI integration, making it invaluable for developers and technical professionals. Students who complete it gain real, applicable skills for building AI-powered solutions. We particularly appreciated how it treats AI as a tool to be integrated into workflows rather than just a chatbot to query.
However, the Python prerequisite creates a significant barrier. This isn't for casual learners wanting better ChatGPT prompts, it's for those ready to write code. The audio quality issues, while not deal-breaking, do detract from the polish we'd expect from a course at this price point.
For the right audience (those with Python skills seeking practical AI implementation knowledge), this course represents excellent value and delivers substantial, career-relevant skills. Just ensure you meet the technical prerequisites before enrolling.
At the typical sale price of $20-25, this course offers exceptional value for 22 hours of technical content. Even at full price, the depth of programming integration justifies the cost for those who need these skills
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We dove into The Complete Prompt Engineering for AI Bootcamp (2025) expecting another generic AI course, but what we found was something more substant...
We dove into The Complete Prompt Engineering for AI Bootcamp (2025) expecting another generic AI course, but what we found was something more substant...
We dove into The Complete Prompt Engineering for AI Bootcamp (2025) expecting another generic AI course, but what we found was something more substant...
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