Choosing Generative AI Tools and Technologies
The generative AI landscape shifts weekly—picking the wrong tool wastes months and budget. This 24-minute course cuts through the noise, teaching you how to evaluate, compare, and select generative AI technologies that actually fit your use case rather than chasing hype.
AIU.ac Verdict: Ideal for technical decision-makers and engineers who need to justify tool choices to stakeholders without getting lost in vendor marketing. Best suited to those with basic AI awareness; if you’re entirely new to generative AI, a foundational course first will help you absorb more.
What This Course Covers
The course walks you through the critical evaluation framework: capability matching (what each tool actually does), cost-benefit analysis, integration complexity, and vendor reliability. You’ll examine real-world scenarios—from LLM selection for customer support to image generation for product design—and learn where open-source alternatives outperform commercial options.
Xavier Morera structures the content around practical decision trees: assessing model size versus latency trade-offs, understanding fine-tuning versus prompt engineering, and recognising when a smaller, specialised model beats a general-purpose giant. By the end, you’ll have a repeatable process for evaluating new tools as they launch, rather than memorising a static list that’ll be outdated in three months.
Who Is This Course For?
Ideal for:
- Technical leads and architects: Need to recommend generative AI tools to teams and justify choices to leadership without deep ML expertise.
- Product managers and strategists: Evaluating whether generative AI fits your roadmap and which vendor relationships to pursue.
- Software engineers and developers: Building with generative AI and tired of trial-and-error; want a structured approach to tool selection.
May not suit:
- Complete beginners to AI: No prior exposure to machine learning concepts; you’ll need foundational knowledge first.
- Deep learning researchers: If you’re training models from scratch, this strategic overview won’t dive into architecture or mathematics.
Frequently Asked Questions
How long does Choosing Generative AI Tools and Technologies take?
24 minutes. Designed for busy professionals—watch in one sitting or split across two short sessions.
Will this course teach me how to use specific tools like ChatGPT or Claude?
No. This is about *selecting* tools, not operating them. You’ll learn the criteria to evaluate any tool, current or future.
Do I need coding experience?
No. The course is vendor and language-agnostic, focused on decision-making rather than implementation.
Is this course updated regularly?
Pluralsight courses are maintained by expert authors; however, given how fast generative AI moves, treat this as a framework rather than a definitive product list.
Course by Xavier Morera on Pluralsight. Duration: 0h 24m. Last verified by AIU.ac: March 2026.
