Master Proven Techniques to Design, Tune, and Evaluate High-Performing Prompts for LLMs
InstructorStart-Tech AcademyComidoc has tracked 6 coupons for this course since 2025, last checked 12d ago. On average, a new coupon appears roughly every 71 days.
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Editorial course preview
These 3 complementary views highlight concrete, legible examples from the course presentation.
This course outline slide introduces Section 2, detailing specific prompt engineering methodologies including Chain-of-Thought, Step-back, and Role prompting techniques.
This course slide outlines Section 3, introducing advanced prompting frameworks including Tree-of-Thought, Skeleton-of-Thought, and Program-of-Thought alongside a study illustration.
This infographic visualizes the structural approach of the course by mapping out key components like prompting best practices and template design.
The curriculum provides coverage of various thought structures such as Chain-of-Thought, Tree-of-thought, and Program-of-thought.
Instruction includes tuning temperature, top-p, and various penalties to steer model behavior.
Some signals indicate a heavy reliance on presentation slides, which may feel insufficient for those seeking more hands-on coding practice.
One signal notes that audio volume and normalization can be inconsistent across different sections.
A specific signal identifies a potential inaccuracy regarding the impact of presence and frequency penalties; this review predates the displayed update, so the update label does not prove a correction.
The curriculum aligns well with the technical goals of developers and product managers, though complexity may vary for absolute beginners.