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Develop practical AI skills using tools like ChatGPT, Midjourney, and GitHub Copilot.

This course covers:

The Complete Prompt Engineering for AI Bootcamp (2023) is an online course created to help participants gain a comprehensive understanding of the technologies behind natural language processing and artificial intelligence. In this course, you will explore five hours of on-demand video tutorials, two articles, and 55 downloadable resources that will provide you with the knowledge needed to become an expert in this field.

You will have lifetime access to the course, as well as access on mobile and television devices. At the end of the course, you will receive a certificate of completion.

What you'll learn

The Complete Prompt Engineering for AI Bootcamp in 2023 will provide participants with a comprehensive understanding of the principles and practices behind creating and deploying Artificial Intelligence (AI) products. Attendees will be able to recall the most commonly used AI tools and their strengths or weaknesses, as well as learn the core tenets of prompt engineering. Additionally, they will gain practical experience by applying what they have learned through the completion of 7+ real-world projects. Appropriate techniques and tooling will also be taught to ensure reliability when running AI products in production.

This Bootcamp is suitable for those who are new to prompt engineering, as well as those looking to upgrade their skillset and become future leaders in the field of Machine Learning (ML). Participants can expect an intensive exploration into developing effective machine learning models and optimizing them for better performance before taking them into production. Examples from industry leaders such as Google and Microsoft will be used during the course to help cement students’ foundational understanding of this emerging technology. By the end of this program, participants should feel confident in transforming ground-breaking research concepts from theory into successful commercial products or services.

About the author

Michael Taylor

As a data-driven technical marketer, Michael co-founded a 50 person marketing agency that worked with some of the leading names in the industry including Booking, Time Out Magazine, and Monzo Bank both in the US and EU. He has created courses for over 300,000 people on LinkedIn Learning, and recently expanded his teaching capabilities to Prompt Engineering for O'Reilly Media.

James Phoenix

With a background in full stack software development and specialist skills in data engineering and digital marketing, James works exclusively with marketing organizations to help streamline their operations and maximize business growth. He is experienced in building data pipelines and automating workflows using AI techniques to benefit marketing teams. His expertise also includes teaching at 40+ Data Science bootcamps at General Assembly. With his wealth of experience on both the technical side of software engineering as well as marketing organizations, James is more than equipped to help modern business reach the next level through smarter solutions rooted in measurable results.

Requirements

Basic practices do not require programming skills.

Having a foundation in Python is beneficial for more advanced lectures.

Description

The Complete Prompt Engineering for AI Bootcamp (2023) provides an unparalleled opportunity to gain the skills and knowledge needed to master the world of artificial intelligence. Whether a student aspiring towards a career in AI engineering, or someone already experienced looking to take their capabilities to the next level, this comprehensive bootcamp is designed to put users at the forefront of modern AI technology. Instruction covers modules on key automation tools such as ChatGPT, Midjourney, GitHub Copilot, GPT-4, DALL-E and Stable Diffusion.

Advanced techniques will be taught which allow leveraging artificial intelligence within various professional applications ranging from image & text generation to software development and more creative projects. As AI development rapidly advances in scope and complexity, it can become difficult staying abreast of current research with open-source project Stable Diffusion rising as the fastest growing repository in GitHub history and ChatGPT becoming one of the quickest adopted consumer products ever reaching 1 million users within 7 days and 100 million in just a few months! Receiving educational training at this otherwise unobtainable level of skill refinement can place any user ahead of the curve when it comes to working within this burgeoning field.

The course will guide you through.

This is an introduction to Prompt Engineering and its significance.

Utilizing artificial intelligence tools such as ChatGPT, Midjourney, GitHub Copilot, GPT-3, DALL-E, and Stable Diffusion.

Having knowledge of the capabilities, limitations, and best practices for each AI tool is essential.

The topics of study include tokens, log probabilities, and AI hallucinations.

The process of creating and improving lists, summaries, and role prompts.

AI can be used for sentiment analysis, contextualization, and step-by-step reasoning.

Strategies for surpassing token restrictions and utilizing meta-prompting.

Advanced AI applications can include techniques such as inpainting, outpainting, and progressive extraction.

AI is being used to create real-world projects such as generating SEO blog articles and stock photos.

What is the reason for delaying? Enroll in The Complete Prompt Engineering for AI Bootcamp (2023) to enhance your career and discover the vast possibilities of AI.

This course is intended for:

This course is perfect for beginners looking to gain a comprehensive introduction to Artificial Intelligence (AI). It will provide an overview of common practices and use cases of AI, from decision support systems to machine learning solutions. Through this course, students will learn various approaches to solve complex problems with AI and explore the range of opportunities that come with mastering this technology.

Developers also stand to benefit greatly from this course. The course offers an opportunity for those already working with production-level algorithms to deepen their knowledge and add more valuable skills into their problem solving arsenal.