Prompt Engineering An Introduction
The training program incorporates fundamental techniques, tools, and methodologies for formulating effective prompts aimed at enhancing the performance of large language models.
Description for Prompt Engineering An Introduction
Understanding Techniques in Prompt Engineering: Familiarize yourself with methodologies such as zero-shot and few-shot prompting, as well as sophisticated techniques including Interview Pattern, Chain-of-Thought, and Tree-of-Thought.
Studying Prominent Prompt Engineering Tools: Acquire proficiency in utilizing tools such as IBM Watsonx Prompt Lab, Spellbook, and Dust for the formulation of effective prompts.
Practical Demonstrations and Optimization Techniques: Engage in prompt optimization through practical laboratories within the IBM Generative AI Classroom, facilitated by real-world case studies and expert guidance.
Implementing Optimal Strategies in Prompt Development: Formulate compelling prompts by utilizing established best practices and prevalent techniques to optimize the efficacy of generative AI applications.
Level: Beginner
Certification Degree: yes
Languages the Course is Available: 1
Offered by: On edX provided by IBM
Duration: 1�3 hours per week 3 weeks (approximately)
Schedule: Flexible
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