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Dr. Jules White

In the era of Generative AI, the demand for personalized and specialized Generative AI assistants is skyrocketing. Large language models like GPTs have demonstrated their remarkable capabilities, but what if you could harness their power to create custom AI assistants tailored to your specific needs? Welcome to the world of custom GPTs, where you can build intelligent systems that understand your domain, speak your language, and solve your unique challenges.

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In the era of Generative AI, the demand for personalized and specialized Generative AI assistants is skyrocketing. Large language models like GPTs have demonstrated their remarkable capabilities, but what if you could harness their power to create custom AI assistants tailored to your specific needs? Welcome to the world of custom GPTs, where you can build intelligent systems that understand your domain, speak your language, and solve your unique challenges.

This cutting-edge course will guide you through the exciting journey of creating and deploying custom GPTs that cater to diverse industries and applications. Imagine having a virtual assistant that can tackle complex legal document analysis, streamline supply chain logistics, or even assist in scientific research and hypothesis generation. The possibilities are endless!

Throughout the course, you'll delve into the intricacies of building GPTs that can use your documents to answer questions, patterns to create amazing human and AI interaction, and methods for customizing the tone of your GPTs. You'll learn how to design and implement rigorous testing scenarios to ensure your AI assistant's accuracy, reliability, and human-like communication abilities.

Prepare to be amazed as you explore real-world examples and case studies, such as:

1. GPT for Personalized Learning and Education: Craft a virtual tutor that adapts its teaching approach based on each student's learning style, providing personalized lesson plans, interactive exercises, and real-time feedback, transforming the educational landscape.

2. Culinary GPT: Your Personal Recipe Vault and Meal Planning Maestro. Step into a world where your culinary creations come to life with the help of an AI assistant that knows your recipes like the back of its hand. The Culinary GPT is a custom-built language model designed to revolutionize your kitchen experience, serving as a personal recipe vault and meal planning and shopping maestro.

3. GPT for Travel and Business Expense Management: A GPT that can assist with all aspects of travel planning and business expense management. It could help users book flights, hotels, and transportation while adhering to company policies and budgets. Additionally, it could streamline expense reporting and reimbursement processes, ensuring compliance and accuracy.

4. GPT for Marketing and Advertising Campaign Management: Leverage the power of custom GPTs to analyze consumer data, market trends, and campaign performance, generating targeted marketing strategies, personalized messaging, and optimizing ad placement for maximum engagement and return on investment.

Whether you're a business leader, entrepreneur, developer, or educator, this course will equip you with the skills to harness the transformative potential of custom GPTs. Unlock new realms of productivity, innovation, and personalized experiences by building AI assistants that truly understand and cater to your unique needs.

Enroll now and join the forefront of AI revolution, where you'll learn to create intelligent systems that not only comprehend but also anticipate and exceed your expectations.

Enroll now

What's inside

Syllabus

Custom GPTs Fundamentals
THINK: Create Great GPTs (Part I)
THINK: Create Great GPTs (Part II)
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Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Develops skills and knowledge highly relevant in an academic setting
Teaches skills, knowledge, and tools highly relevant in an academic setting
Offers hands-on labs and interactive materials
Builds a strong foundation for beginners
Taught by instructor recognized for their work in the topic that the course teaches
Explores topics that are unique and may add color to other topics and subjects

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Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in OpenAI GPTs: Creating Your Own Custom AI Assistants with these activities:
Explore GPT-3 Demo Playground
Experiment with GPT-3's capabilities firsthand to develop a practical understanding of its strengths and limitations.
Browse courses on GPT-3
Show steps
  • Create an OpenAI account and access the GPT-3 Demo Playground.
  • Explore different prompts and observe the responses generated by GPT-3.
  • Analyze the results, paying attention to the model's ability to generate coherent and relevant text.
Practice GPT Building Exercises and Quizzes
Reinforce your understanding of GPT building and natural language processing concepts through targeted practice drills and quizzes.
Browse courses on AI Development
Show steps
  • Complete the online exercises provided in the course platform.
  • Take practice quizzes on key GPT building topics.
  • Solve hands-on coding challenges to implement GPT models.
Explore GPT-Related Projects and Implementations
Expand your knowledge and gain practical experience by following guided tutorials and implementing GPT-related projects.
Browse courses on AI Deployment
Show steps
  • Identify and access reliable online resources and tutorials.
  • Follow step-by-step instructions to build GPT-powered applications.
  • Experiment with different GPT models and fine-tune them for specific tasks.
Show all three activities

Career center

Learners who complete OpenAI GPTs: Creating Your Own Custom AI Assistants will develop knowledge and skills that may be useful to these careers:
Natural Language Processing Engineer
As a Natural Language Processing Engineer, you can use your passion for working with structured and unstructured forms of text using machine learning. This course can help build your foundation in the area of Open AI and GPTs for custom language learning. Working with GPTs and large language models is at the heart of NLP Engineering. Thus, this course is highly recommended if you are targeting a career in this growing field.
Machine Learning Engineer
Machine Learning Engineers are responsible for the implementation and maintenance of machine learning models that power a wide range of applications, such as artificial intelligence and data analysis. This course will be helpful for those targeting a career as an MLE, especially if you are interested in developing custom LLMs.
AI Research Scientist
AI Research Scientists work in academia or industry to push the boundaries of AI and machine learning. This course may be useful in giving you a good foundation for your research, especially if interested in the development of LLMs and GPTs.
Data Scientist
Data Scientists use sophisticated techniques and algorithms to extract insights from vast amounts of data. This course will help build a base of knowledge in GPTs and their applications.
Software Engineer
Software Engineers design, develop, and maintain software systems. This course will help build a base of knowledge in GPTs that may be useful for your work.
Digital Marketing Specialist
Digital Marketing Specialists help businesses promote their products and services online. This course can help you learn more about the power of GPTs for tasks such as personalized marketing and targeted advertising.
Content Writer
Content Writers create content for websites, blogs, and other digital platforms such as social media. You can learn from this course how GPTs can be used to augment your writing process and improve the quality of your work.
Customer Success Manager
Customer Success Managers help businesses ensure that their customers are satisfied with their products and services. This course will provide useful knowledge of GPTs that can help you personalize the customer experience.
Product Manager
Product Managers are responsible for the development and launch of new products. This course may be useful for building a foundation in NLP and understanding how GPTs can help automate certain aspects of product development.
Business Analyst
Business Analysts help businesses improve their operations and make better decisions. This course can provide you with foundational knowledge of the capabilities and limitations of GPTs that will aid in decision making.
Technical Writer
Technical Writers create documentation and other materials that explain complex technical concepts. This course provides a good foundation for learning to communicate the technical aspects of GPTs to a variety of audiences.
Instructional Designer
Instructional Designers create and develop educational materials and programs. This course will be helpful for understanding how GPTs can be used to augment learning and improve educational experiences.
Recruiter
Recruiters help businesses find and hire qualified candidates. This course can be useful for recruiters and HR professionals who want to use GPTs to improve candidate screening and automate certain aspects of the recruiting process.
Salesforce Administrator
Salesforce Administrators manage and maintain the Salesforce platform for businesses. This course may be useful for learning how to use GPTs to automate certain tasks and improve the efficiency of Salesforce.
IT Support Specialist
IT Support Specialists help businesses troubleshoot and resolve technical issues. This course can provide foundational knowledge of GPTs that may be helpful for automating certain tasks and improving support efficiency.

Reading list

We've selected ten books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in OpenAI GPTs: Creating Your Own Custom AI Assistants.
Provides a comprehensive overview of statistical learning, a subfield of machine learning that focuses on the analysis of data. It covers a wide range of topics, including supervised learning, unsupervised learning, and reinforcement learning. It is written in a clear and concise style, and it is packed with exercises and examples.
Provides a comprehensive overview of pattern recognition and machine learning, two closely related fields that are concerned with the analysis of data. It covers a wide range of topics, including supervised learning, unsupervised learning, and reinforcement learning. It is written in a clear and concise style, and it is packed with exercises and examples.
Provides a comprehensive overview of machine learning from a probabilistic perspective. It covers a wide range of topics, including supervised learning, unsupervised learning, and reinforcement learning. It is written in a clear and concise style, and it is packed with exercises and examples.
Provides a comprehensive overview of artificial intelligence, from its foundations to its latest advances. It covers a wide range of topics, including machine learning, natural language processing, computer vision, and robotics.
Provides a comprehensive overview of natural language processing using Python. It covers a wide range of topics, including tokenization, stemming, lemmatization, parsing, and machine translation. It is written in a clear and concise style, and it is packed with exercises and examples.
Provides a comprehensive overview of deep learning, a subfield of machine learning that has revolutionized the field in recent years. It covers a wide range of topics, including neural networks, convolutional neural networks, recurrent neural networks, and generative adversarial networks.
Provides a practical guide to machine learning, covering a wide range of topics, including supervised learning, unsupervised learning, and reinforcement learning. It is written in a clear and concise style, and it is packed with exercises and examples.
Provides a hands-on introduction to machine learning using Python and the scikit-learn, Keras, and TensorFlow libraries. It covers a wide range of topics, including data preprocessing, model selection, and evaluation.
Provides a comprehensive overview of machine learning using Python. It covers a wide range of topics, including supervised learning, unsupervised learning, and reinforcement learning. It is written in a clear and concise style, and it is packed with exercises and examples.
Provides a gentle introduction to machine learning for non-technical readers. It covers a wide range of topics, including supervised learning, unsupervised learning, and reinforcement learning. It is written in a clear and concise style, and it is packed with exercises and examples.

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