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Tom Chant
Upon completing the this course, learners will have established a robust foundation in AI principles and hands-on proficiency with AI tools and APIs. They will learn the art of crafting and manipulating AI models, enabling them to integrate AI into applications with confidence. This course stands out by offering a detailed exploration of AI engineering, from the basics to deeper techniques like the "Few Shot" approach and the creation of images with the latest DALL·E 3 API.
Read more
Upon completing the this course, learners will have established a robust foundation in AI principles and hands-on proficiency with AI tools and APIs. They will learn the art of crafting and manipulating AI models, enabling them to integrate AI into applications with confidence. This course stands out by offering a detailed exploration of AI engineering, from the basics to deeper techniques like the "Few Shot" approach and the creation of images with the latest DALL·E 3 API.
Read more
Upon completing the this course, learners will have established a robust foundation in AI principles and hands-on proficiency with AI tools and APIs. They will learn the art of crafting and manipulating AI models, enabling them to integrate AI into applications with confidence. This course stands out by offering a detailed exploration of AI engineering, from the basics to deeper techniques like the "Few Shot" approach and the creation of images with the latest DALL·E 3 API.
Participants will also learn to navigate AI safety and ethical considerations, ensuring responsible use of AI technology. With a blend of theoretical knowledge and practical application, this course is uniquely positioned to empower learners to become innovative problem solvers in the AI domain.
Register for this course and see more details by visiting:
OpenCourser.com/course/d93wic/intro
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What's inside
Syllabus
Intro to AI Engineering
In this course, learners gain a solid AI foundation, learning model development, API use, and ethical AI practices. The course also dives into more advanced techniques like the "Few Shot" approach and DALL·E 3 API, preparing students for innovative roles in the AI industry.
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Provides a strong foundation in AI principles and hands-on proficiency with AI tools and APIs, preparing learners for innovative roles in the AI industry
Develops foundational model development and API usage skills, which are core for AI practitioners
Taught by Tom Chant, who is recognized for their work in AI engineering
Covers advanced techniques like the "Few Shot" approach and the creation of images with the latest DALL·E 3 API, equipping learners for the future of AI
Examines AI safety and ethical considerations, promoting responsible use of AI technology
Save this course
Save Intro to AI Engineering to your list so you can find it easily later:
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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 Intro to AI Engineering with these
activities:
Review Python programming
Show steps
Reviewing Python will increase your odds of success by building a strong foundation.
Browse courses on
Python
Show steps
-
Review core concepts like variables, data types, and control flow.
-
Complete hands-on coding exercises to practice your skills.
Follow tutorials on specific AI tools and APIs
Show steps
Tutorials will provide hands-on experience with specific AI tools and APIs, enhancing your proficiency.
Show steps
-
Identify specific AI tools and APIs that align with your interests and course objectives.
-
Find high-quality tutorials from reputable sources.
-
Follow the tutorials step-by-step, experimenting with the tools and APIs.
Create an AI chatbot
Show steps
Creating an AI chatbot will provide practical experience with AI principles and tools.
Show steps
-
Design the chatbot's functionality and user interface.
-
Develop the chatbot's AI model using supervised or unsupervised learning.
-
Test and refine the chatbot to improve its performance.
Three other activities
Expand to see all activities and additional details
Show all six activities
Solve practice problems on AI algorithms and techniques
Show steps
Practice problems will enhance your understanding of AI concepts and techniques.
Browse courses on
AI Algorithms
Show steps
-
Identify practice problems related to AI algorithms and techniques.
-
Solve the problems using appropriate AI approaches.
-
Review your solutions and identify areas for improvement.
Write a blog post on AI ethics
Show steps
Writing a blog post on AI ethics will deepen your understanding of these crucial considerations.
Browse courses on
AI Ethics
Show steps
-
Research ethical issues related to AI development and deployment.
-
Develop a clear and engaging argument supporting responsible AI practices.
-
Write a well-structured and informative blog post sharing your insights.
Develop an AI prototype for a real-world problem
Show steps
Developing an AI prototype will provide a tangible demonstration of your AI engineering skills.
Browse courses on
Problem-Solving
Show steps
-
Identify a real-world problem that can be addressed using AI.
-
Design and develop an AI prototype that addresses the problem.
-
Evaluate the prototype's performance and make necessary improvements.
Review Python programming
Show steps
Reviewing Python will increase your odds of success by building a strong foundation.
Browse courses on
Python
Show steps
Show steps
Show steps
- Review core concepts like variables, data types, and control flow.
- Complete hands-on coding exercises to practice your skills.
Follow tutorials on specific AI tools and APIs
Show steps
Tutorials will provide hands-on experience with specific AI tools and APIs, enhancing your proficiency.
Show steps
Show steps
Show steps
- Identify specific AI tools and APIs that align with your interests and course objectives.
- Find high-quality tutorials from reputable sources.
- Follow the tutorials step-by-step, experimenting with the tools and APIs.
Create an AI chatbot
Show steps
Creating an AI chatbot will provide practical experience with AI principles and tools.
Show steps
Show steps
Show steps
- Design the chatbot's functionality and user interface.
- Develop the chatbot's AI model using supervised or unsupervised learning.
- Test and refine the chatbot to improve its performance.
Three other activities
Expand to see all activities and additional details
Show all six activities
Solve practice problems on AI algorithms and techniques
Show steps
Practice problems will enhance your understanding of AI concepts and techniques.
Browse courses on
AI Algorithms
Show steps
Show steps
Show steps
- Identify practice problems related to AI algorithms and techniques.
- Solve the problems using appropriate AI approaches.
- Review your solutions and identify areas for improvement.
Write a blog post on AI ethics
Show steps
Writing a blog post on AI ethics will deepen your understanding of these crucial considerations.
Browse courses on
AI Ethics
Show steps
Show steps
Show steps
- Research ethical issues related to AI development and deployment.
- Develop a clear and engaging argument supporting responsible AI practices.
- Write a well-structured and informative blog post sharing your insights.
Develop an AI prototype for a real-world problem
Show steps
Developing an AI prototype will provide a tangible demonstration of your AI engineering skills.
Browse courses on
Problem-Solving
Show steps
Show steps
Show steps
- Identify a real-world problem that can be addressed using AI.
- Design and develop an AI prototype that addresses the problem.
- Evaluate the prototype's performance and make necessary improvements.
Career center
Learners who complete Intro to AI Engineering will develop knowledge and skills
that may be useful to these careers:
Machine Learning Engineer
Machine Learning Engineer
A Machine Learning Engineer designs, develops, and deploys machine learning algorithms. They work to ensure that machine learning models are accurate, reliable, and efficient. This course can help you develop the skills you need to become a Machine Learning Engineer. You will learn about the basics of AI, as well as more advanced topics such as the \"Few Shot\" approach and the creation of images with the latest DALL·E 3 API. This course will also help you navigate AI safety and ethical considerations. Machine Learning Engineers typically need a master's or PhD degree, but this course may be helpful for those pursuing a career in this field.
AI Engineer
AI Engineer
An AI Engineer designs, develops, and deploys AI models. They work to ensure that AI models are accurate, reliable, and efficient. This course can help you develop the skills you need to become an AI Engineer. You will learn about the basics of AI, as well as more advanced topics such as the \"Few Shot\" approach and the creation of images with the latest DALL·E 3 API. This course will also help you navigate AI safety and ethical considerations. AI Engineers typically need a master's or PhD degree, but this course may be helpful for those pursuing a career in this field.
Data Scientist
Data Scientist
A Data Scientist uses data to solve business problems. They work to collect, clean, and analyze data to identify trends and patterns. This course can help you develop the skills you need to become a Data Scientist. You will learn about the basics of AI, as well as more advanced topics such as the \"Few Shot\" approach and the creation of images with the latest DALL·E 3 API. This course will also help you navigate AI safety and ethical considerations.
Software Engineer
Software Engineer
A Software Engineer designs, develops, and deploys software applications. They work to ensure that software applications are reliable, efficient, and user-friendly. This course can help you develop the skills you need to become a Software Engineer. You will learn about the basics of AI, as well as more advanced topics such as the \"Few Shot\" approach and the creation of images with the latest DALL·E 3 API.
Product Manager
Product Manager
A Product Manager is responsible for the development and launch of new products. They work to identify customer needs, define product requirements, and oversee the development process. This course can help you develop the skills you need to become a Product Manager. You will learn about the basics of AI, as well as more advanced topics such as the \"Few Shot\" approach and the creation of images with the latest DALL·E 3 API. This course will also help you navigate AI safety and ethical considerations.
Technical Writer
Technical Writer
A Technical Writer is responsible for creating and maintaining technical documentation. They work with engineers and other technical staff to ensure that documentation is accurate, clear, and easy to understand. This course can help you develop the skills you need to become a Technical Writer. You will learn about the basics of AI, as well as more advanced topics such as the \"Few Shot\" approach and the creation of images with the latest DALL·E 3 API.
UX Designer
UX Designer
A UX Designer is responsible for the design and usability of software applications. They work to create user interfaces that are intuitive, efficient, and visually appealing. This course can help you develop the skills you need to become a UX Designer. You will learn about the basics of AI, as well as more advanced topics such as the \"Few Shot\" approach and the creation of images with the latest DALL·E 3 API.
Research Scientist
Research Scientist
A Research Scientist is responsible for conducting research in a variety of fields, including AI. They work to develop new theories and models, and to solve complex problems. This course can help you develop the skills you need to become a Research Scientist. You will learn about the basics of AI, as well as more advanced topics such as the \"Few Shot\" approach and the creation of images with the latest DALL·E 3 API.
Quality Assurance Analyst
Quality Assurance Analyst
A Quality Assurance Analyst is responsible for testing and evaluating software applications to ensure that they meet quality standards. They work to identify and resolve defects, and to ensure that software applications are reliable and user-friendly. This course can help you develop the skills you need to become a Quality Assurance Analyst. You will learn about the basics of AI, as well as more advanced topics such as the \"Few Shot\" approach and the creation of images with the latest DALL·E 3 API.
Project Manager
Project Manager
A Project Manager is responsible for the planning, execution, and completion of projects. They work with stakeholders to define project scope, develop project plans, and manage project resources. This course can help you develop the skills you need to become a Project Manager. You will learn about the basics of AI, as well as more advanced topics such as the \"Few Shot\" approach and the creation of images with the latest DALL·E 3 API.
Enterprise Architect
Enterprise Architect
An Enterprise Architect is responsible for the overall design and architecture of an organization's IT systems. They work to ensure that IT systems are aligned with business goals and objectives. This course can help you develop the skills you need to become an Enterprise Architect. You will learn about the basics of AI, as well as more advanced topics such as the \"Few Shot\" approach and the creation of images with the latest DALL·E 3 API.
Business Analyst
Business Analyst
A Business Analyst is responsible for identifying and solving business problems. They work with stakeholders to gather requirements, analyze data, and develop solutions. This course can help you develop the skills you need to become a Business Analyst. You will learn about the basics of AI, as well as more advanced topics such as the \"Few Shot\" approach and the creation of images with the latest DALL·E 3 API.
Data Architect
Data Architect
A Data Architect designs and builds data systems. They work to ensure that data systems are reliable, efficient, and scalable. This course can help you develop the skills you need to become a Data Architect. You will learn about the basics of AI, as well as more advanced topics such as the \"Few Shot\" approach and the creation of images with the latest DALL·E 3 API.
Consultant
Consultant
A Consultant provides advice and guidance to organizations on a variety of topics. They work with clients to identify problems, develop solutions, and implement changes. This course can help you develop the skills you need to become a Consultant. You will learn about the basics of AI, as well as more advanced topics such as the \"Few Shot\" approach and the creation of images with the latest DALL·E 3 API.
IT Manager
IT Manager
An IT Manager is responsible for the management and operation of an organization's IT systems. They work to ensure that IT systems are reliable, efficient, and secure. This course can help you develop the skills you need to become an IT Manager. You will learn about the basics of AI, as well as more advanced topics such as the \"Few Shot\" approach and the creation of images with the latest DALL·E 3 API.
For more career information including salaries, visit:
OpenCourser.com/course/d93wic/intro
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
Intro to AI Engineering.
Save
This comprehensive text delves deeply into deep learning, an essential area in AI. It provides a strong theoretical foundation and practical insights, allowing learners to go beyond the course's scope and gain expertise in deep learning.
This theoretical text provides a rigorous foundation in machine learning, covering fundamental concepts and algorithms. It complements the course's practical focus by offering a deeper understanding of the underlying principles and mathematical foundations of machine learning.
This practical guide is ideal for enhancing hands-on skills in machine learning. It complements the course by providing step-by-step instructions and examples using popular Python libraries, enabling learners to apply their knowledge effectively.
This practical guide is useful for learners who want to enhance their data analysis skills with Python. It complements the course's focus on using AI tools and APIs by providing a strong foundation in data manipulation and analysis techniques.
Exploring the ethical implications of AI, this book aligns with the course's emphasis on responsible AI practices. It provides a framework for understanding the ethical challenges in AI development and deployment.
Save
This thought-provoking book explores the potential impact of AI on society. While it's not directly technical, it provides a broader perspective and raises important questions about the future of AI, complementing the course's focus on practical applications.
While not directly covered in the course, reinforcement learning key area in AI. This foundational text provides a comprehensive overview, making it a valuable resource for learners interested in exploring this topic further.
This practical guide focuses on deep reinforcement learning, which is not directly covered in the course. It provides hands-on examples and exercises, allowing learners to explore advanced techniques and gain a deeper understanding of this specialized area.
For learners who prefer a more accessible introduction to AI, this book offers a simplified overview of the subject. It covers essential concepts in a clear and concise manner, providing a foundation for those new to the field.
Save
This concise and accessible book provides a crash course in AI, covering a wide range of topics. It offers a quick and easy way to grasp the fundamentals and gain a broad understanding of the subject.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/d93wic/intro
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Level
Intermediate
Via
Coursera
Institution
Scrimba
Instructor
Tom Chant
Language
English
This course belongs to a
collection
called
AI Engineering. It's comprised of six courses:
- Learn Embeddings and Vector Databases
- Open-source AI Models
- Intro to AI Engineering (viewing)
- Learn OpenAI's Assistant API
- Build AI Apps with LangChain.js
- Learn AI Agents
Good to know
Provides a strong foundation in AI principles and hands-on proficiency with AI tools and APIs, preparing learners for innovative roles in the AI industry
Develops foundational model development and API usage skills, which are core for AI practitioners
Taught by Tom Chant, who is recognized for their work in AI engineering
Covers advanced techniques like the "Few Shot" approach and the creation of images with the latest DALL·E 3 API, equipping learners for the future of AI
Examines AI safety and ethical considerations, promoting responsible use of AI technology
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