Generative AI & Prompt Engineering
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Generative AI & Prompt Engineering
Total Duration
2 Months
Prerequisites
- Computer Skills.
- Basic Programming Knowledge.
- Analytical Mindset.
Generative AI & Prompt Engineering Training Programme Overview
The term “prompt engineering” may sound complicated. But we've designed this course to be easy to use - it doesn't require advanced technical skills.
By learning prompt engineering principles, you'll realize the huge potential of Generative AI. Tools like ChatGPT (powered by Generative AI) are already used to automate tedious tasks, generate ideas, do instant research, and enhance content creation. Mastering prompt engineering opens doors to tap into these possibilities.
During the course, we'll use hands-on examples so you can get comfortable applying prompts to real-world problems. We'll make sure you finish with a solid grasp of core concepts.
What is Generative AI and Prompt Engineering?
Generative AI systems create outputs based on the quality of prompts fed into them. Models packed with prompt engineering perform efficiently - answering questions from simple to complex.
The prompts are key - they largely determine the success of these models. Prompt engineering paired with Generative AI is becoming more beneficial in Malaysia, providing companies with more efficient tools.
This course handbook serves as a complete guide to mastering these techniques. You'll gain competitive advantage and a foundational understanding of Generative AI's capabilities for producing novel data algorithmically.
We'll cover the fundamentals of how prompts work and how to engineer effective ones. With hands-on examples, you'll learn how to direct Generative AI models to best solve business problems.
By the end, you'll be well-versed in extracting maximum value from this cutting-edge technology.
Generative AI & Prompt Engineering Training Learning Outcomes
Determine which issues can be solved with artificial intelligence approaches. Utilise a few fundamental AI techniques and assess if more sophisticated ones are applicable. Take part in the creation of intelligent systems that absorb knowledge from their experiences. The main goals of Generative AI include the creation of fresh, unique material, designs, chat answers, synthetic data, and even deepfakes. It is especially useful for addressing new problems and in creative domains since it can produce a wide variety of new outputs on its own. Content may be tailored to each user's preferences thanks to Generative artificial intelligence. AI algorithms are able to create personalised learning materials that are tailored to your individual learning style through the analysis of learning patterns and preferences. This enables improved comprehension and engagement.
Generative AI & Prompt Engineering Certification Modules
Since the tech sector has embraced Generative AI and AI systems, the term "prompt engineer" has lately surfaced. But while AI prompt engineering is still in its infancy, there isn't yet a particular accreditation for it. Certifications are issued by associations for professionals in the field or by educational establishments; however, real-world experience with Generative AI applications and machine learning models is sometimes more valuable than certifications for those who are interested.
- Introduction to Vector Databases and Their Role in AI
- Deep Dive into RDBMS (SQL), NoSQL, and Vector Databases. Understand the Pros and Cons of these solutions.
- Understanding the vector databases' role in the field of product development with Generative AI.
- Improving the responsiveness and contextual understanding of AI-driven chatbots and virtual assistants with Vector Embeddings.
- Using vector databases in image and video generation.
- Introduction to Prompt Engineering and Foundations of Prompting.
- Practical exercises and demonstrations on creating prompts for various tasks such as information retrieval, creative writing, and more, using ChatGPT.
- Explore different types of Prompts, Prompting Strategies, and Principles of effective prompt designing.
- Zero-shot and One-shot Prompting: Techniques for creating prompts that guide the AI in performing tasks without prior examples or with a single example.
- Information Retrieval and Creative Writing: Strategies for extracting information effectively and for generating imaginative content.
- Advanced Prompt Structuring: Exploring context expansion, content summarization, and template filling to achieve specific outcomes.
- Prompt Reframing and Combination:
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