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.
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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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