Brief Introduction
Launch your career as an AI engineer. Learn how to provide business insights from big data using machine learning and deep learning techniques.Course Summary
The AI Engineer Professional Certificate program is designed for individuals seeking to learn how to design, build, and deploy AI solutions at scale.Key Learning Points
- Learn key AI concepts and techniques such as machine learning, deep learning, and natural language processing.
- Acquire hands-on experience with popular AI tools and frameworks including TensorFlow and Keras.
- Develop skills in data preparation, model development, and deployment to production environments.
Related Topics for further study
Learning Outcomes
- Build a solid foundation in AI concepts and techniques.
- Develop proficiency in popular AI tools and frameworks.
- Gain practical experience in building and deploying AI solutions.
Prerequisites or good to have knowledge before taking this course
- Familiarity with programming concepts and languages like Python.
- Basic knowledge of statistics and linear algebra.
Course Difficulty Level
IntermediateCourse Format
- Online
- Self-paced
Similar Courses
- AI for Everyone
- Applied Data Science with Python
Related Education Paths
- Deep Learning Specialization
- Data Science Professional Certificate
- Applied AI Professional Certificate
Notable People in This Field
- Yann LeCun
- Geoffrey Hinton
- Fei-Fei Li
Related Books
Description
Artificial intelligence (AI) is revolutionizing entire industries, changing the way companies across sectors leverage data to make decisions. To stay competitive, organizations need qualified AI engineers who use cutting-edge methods like machine learning algorithms and deep learning neural networks to provide data driven actionable intelligence for their businesses. This 6-course Professional Certificate is designed to equip you with the tools you need to succeed in your career as an AI or ML engineer.
You’ll master fundamental concepts of machine learning and deep learning, including supervised and unsupervised learning, using programming languages like Python. You’ll apply popular machine learning and deep learning libraries such as SciPy, ScikitLearn, Keras, PyTorch, and Tensorflow to industry problems involving object recognition, computer vision, image and video processing, text analytics, natural language processing (NLP), recommender systems, and other types of classifiers.
Through hands-on projects, you’ll gain essential data science skills scaling machine learning algorithms on big data using Apache Spark. You’ll build, train, and deploy different types of deep architectures, including convolutional neural networks, recurrent networks, and autoencoders.
In addition to earning a Professional Certificate from Coursera, you will also receive a digital badge from IBM recognizing your proficiency in AI engineering.
Summary of User Reviews
This professional certificate program on AI Engineering offered by Coursera has received positive reviews from users. Many have found the course to be comprehensive and informative, with hands-on projects that help in gaining practical experience.Key Aspect Users Liked About This Course
Comprehensive and informative course with hands-on projects for practical experience.Pros from User Reviews
- In-depth coverage of relevant topics in AI and machine learning.
- Real-world projects that help in gaining practical experience.
- Flexible schedule that allows learners to study at their own pace.
- Engaging and knowledgeable instructors who provide excellent guidance.
- Access to a supportive community of learners and professionals.
Cons from User Reviews
- Some users have found the course to be too basic for their level of expertise.
- The course requires a significant time commitment, which may not be feasible for some learners.
- The cost of the program may be prohibitive for some learners.
- Some learners have experienced technical issues with the platform.
- The program may not be suitable for those seeking an in-depth understanding of specific AI technologies.
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