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Build AI Apps with ChatGPT, Dall-E, and GPT-4
Tom Chant
Tom Chant
This course teaches web developers to build apps using OpenAI's API, helping them take their first steps as an AI Engineers. Learners will get hands-on practice with both the GPT-4 and Dall-E APIs, using OpenAI's JavaScript SDK.
Read more
This course teaches web developers to build apps using OpenAI's API, helping them take their first steps as an AI Engineers. Learners will get hands-on practice with both the GPT-4 and Dall-E APIs, using OpenAI's JavaScript SDK.
Read more
This course teaches web developers to build apps using OpenAI's API, helping them take their first steps as an AI Engineers. Learners will get hands-on practice with both the GPT-4 and Dall-E APIs, using OpenAI's JavaScript SDK.
In the first project, MoviePitch, you will get a primer on the OpenAI API and harness the power of artificial intelligence to generate ideas and images.
In our second project, KnowItAll, we’ll move to the ChatGPT-4 model and get to grips with building chatbots - one of the most common uses of AI for web devs.
Finally, we will fine-tune our chatbot in the third project. Fine-tuning is where you upload a dataset to OpenAI and use it to train a model. Doing this allows the chatbot to answer questions specific to your data - a critical skill when working with AI.
Register for this course and see more details by visiting:
OpenCourser.com/course/m9l0cx/build
What's inside
Syllabus
Intro to AI Engineering
Learn to build your first AI-powered app
Deploying your AI App
Learn secure and robust deployment strategies for AI apps using Cloudflare
Read more
Syllabus
Intro to AI Engineering
Learn to build your first AI-powered app
Deploying your AI App
Learn secure and robust deployment strategies for AI apps using Cloudflare
Read more
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Provides instruction on building apps using OpenAI's API, suitable for students seeking an introduction to the field of AI Engineering
Offers hands-on practice with popular GPT-4 and Dall-E APIs, making it relevant to current industry practices
Helps learners build a foundation in AI app development, starting with basic concepts and gradually introducing more advanced topics
Covers key aspects of AI Engineering, including building, deploying, and securing AI applications
Provides practical experience through projects that involve generating ideas, images, and building chatbots using AI
Involves deploying AI apps using Cloudflare, introducing students to industry-standard practices for security and reliability
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Activities
Coming soon
We're preparing activities for
Build AI Apps with ChatGPT, Dall-E, and GPT-4.
These are activities you can do either before, during, or after a course.
Career center
Learners who complete Build AI Apps with ChatGPT, Dall-E, and GPT-4 will develop knowledge and skills
that may be useful to these careers:
AI Engineer
AI Engineer
AI Engineers design and deploy AI models and applications, working with teams of engineers, data scientists, and business stakeholders. This course provides an ideal foundation for career entrants since it offers practical application of AI. Students will be exceptionally well-prepared for this role.
Machine Learning Engineer
Machine Learning Engineer
Machine Learning Engineers design and implement algorithms and models using machine learning techniques. Many ML Engineers find their start in AI Engineering. This course can help learners prepare to move into this role.
Software Engineer
Software Engineer
Software Engineers design, develop, and maintain software applications and systems. While this course focuses on AI applications, the skills learned here can be applied to many different areas of software engineering.
Data Scientist
Data Scientist
Data Scientists use scientific methods, processes, algorithms, and systems to extract knowledge and insights from data. Though this course alone may not be enough to launch a career as a Data Scientist, it can help build a foundation.
Business Analyst
Business Analyst
Business Analysts help organizations understand their business needs and develop solutions to improve their operations. AI/ML courses can help prepare Business Analysts to work with the advanced technologies of today's business world.
Web Developer
Web Developer
Web Developers are responsible for designing, developing, and maintaining websites. A course that focuses on AI/ML applications is a valuable addition to a Web Developer's skill set.
Product Manager
Product Manager
Product Managers are responsible for managing the development of a product. Courses that help Product Managers see the vision of a product and the reality of the development process can be very useful.
Technical Writer
Technical Writer
Technical Writers create and maintain technical documentation. This course can be helpful for Technical Writers who want to learn more about AI/ML applications so they can better convey complex topics to their audience.
Data Analyst
Data Analyst
Data Analysts collect, clean, and analyze data to help organizations make better decisions. This course can be useful for preparing for a career as a Data Analyst by exposing students to the basics of AI applications.
UX Designer
UX Designer
UX Designers design and evaluate user interfaces for websites, software, and other products. This course can be useful for UX Designers who want to learn more about AI/ML applications.
AI Researcher
AI Researcher
AI Researchers design and conduct experiments to advance the field of artificial intelligence.
AI Consultant
AI Consultant
AI Consultants help organizations adopt and use AI technologies. This course can be useful for AI Consultants who want to stay up-to-date on the latest advances in AI/ML.
AI Instructor
AI Instructor
AI Instructors teach AI and ML concepts to students. This course can be useful for AI Instructors who want to stay up-to-date on the latest advances in AI/ML.
AI Project Manager
AI Project Manager
AI Project Managers oversee the development and implementation of AI projects. This course can be useful for AI Project Managers who want to stay up-to-date on the latest advances in AI/ML.
AI Evangelist
AI Evangelist
AI Evangelists promote the use and adoption of AI technologies. This course can be useful for AI Evangelists who want to learn more about the latest advances in AI/ML.
For more career information including salaries, visit:
OpenCourser.com/course/m9l0cx/build
Reading list
We've selected seven 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
Build AI Apps with ChatGPT, Dall-E, and GPT-4.
Save
Is widely recognized as the bible of deep learning. It provides a comprehensive overview of the field, from basic concepts to advanced techniques.
The book provides a comprehensive overview of machine learning concepts and techniques, with a focus on practical implementation in Python.
This free online book that provides a comprehensive overview of deep learning. It covers a wide range of topics, from convolutional neural networks to recurrent neural networks, and great resource for anyone interested in learning more about deep learning.
Save
Provides a comprehensive overview of computer vision, a field that deals with the interpretation of digital images and videos. It covers a wide range of topics, from image processing to object recognition, and great resource for anyone interested in learning more about computer vision.
The book provides basic knowledge of the AI and its current applications. It is suitable to read as background knowledge before taking the course.
Provides a glimpse into the future of AI and its potential impact on humanity. Kurzweil argues that AI will eventually surpass human intelligence and lead to a new era of prosperity and progress.
Save
Explores the potential implications of AI for humanity. Tegmark argues that AI could lead to either a utopian or dystopian future, and he calls for a proactive approach to AI development.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/m9l0cx/build
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Level
Intermediate
Via
Coursera
Institution
Scrimba
Instructor
Tom Chant
Language
English
Good to know
Provides instruction on building apps using OpenAI's API, suitable for students seeking an introduction to the field of AI Engineering
Offers hands-on practice with popular GPT-4 and Dall-E APIs, making it relevant to current industry practices
Helps learners build a foundation in AI app development, starting with basic concepts and gradually introducing more advanced topics
Covers key aspects of AI Engineering, including building, deploying, and securing AI applications
Provides practical experience through projects that involve generating ideas, images, and building chatbots using AI
Involves deploying AI apps using Cloudflare, introducing students to industry-standard practices for security and reliability
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