Python for AI Development
Learn essential Python unit testing and packaging skills for AI development with IBM's practical mini-course.
Learn essential Python unit testing and packaging skills for AI development with IBM's practical mini-course.
Master Python development practices for AI applications in this focused IBM mini-course. Learn to create and run unit tests, package Python applications for distribution, and apply your skills to real-world projects. Gain hands-on experience through practical labs and a peer-graded final assignment. This course builds on Python basics to help you develop professional-grade AI applications. Perfect for developers looking to enhance their Python testing and packaging skills.
4.5
(24 ratings)
13,037 already enrolled
Instructors:
English
Arabic, German, English, 9 more
Powered by
What you'll learn
Develop proficiency in Python for AI application development
Master unit testing creation and execution techniques
Learn to package Python applications professionally
Gain practical experience with IBM Watson APIs
Skills you'll gain
This course includes:
PreRecorded video
Graded assignments, exams
Access on Mobile, Tablet, Desktop
Limited Access access
Shareable certificate
Closed caption
Top companies offer this course to their employees
Top companies provide this course to enhance their employees' skills, ensuring they excel in handling complex projects and drive organizational success.
There are 3 modules in this course
This mini-course focuses on advanced Python development skills essential for AI applications. Students learn professional development practices including unit testing and package creation. The curriculum emphasizes hands-on experience through practical labs and a comprehensive final project. Topics cover creating and running unit tests, packaging Python applications for distribution, and working with IBM Watson APIs. The course bridges the gap between basic Python knowledge and professional AI development practices.
Python Coding Practices and Packaging Concepts
Module 1
Web App Deployment using Flask
Module 2
Creating AI Application and Deploy using Flask
Module 3
Fee Structure
Instructors
Data Engineering and Technology Education Expert
Ramesh Sannareddy serves as a freelance technology educator and content developer, bringing over two and a half decades of experience in Information Technology Infrastructure Management, Database Administration, and Information Integration. After earning his Bachelor's Degree in Information Systems from Birla Institute of Technology, Pilani, he built an impressive career working with leading technology companies including Intergraph, Genpact, HCL, and Microsoft. Currently focused on his passion for teaching, he specializes in developing and delivering courses in Data Science, Machine Learning, Programming, and Databases. His educational impact is evidenced through his extensive course portfolio, which includes specialized programs in Data Engineering, Data Warehousing, Linux Commands, Machine Learning with Apache Spark, and Python Programming. His teaching reaches over 11,800 learners globally, maintaining a strong 4.5 rating for his educational content
Pioneering Data Scientist Bridging AI Research and Education
Dr. Joseph Santarcangelo, a Data Scientist at IBM, brings a unique blend of academic excellence and practical expertise to the field of data science and artificial intelligence. With a Ph.D. in Electrical Engineering, his groundbreaking research focused on the intersection of machine learning, signal processing, and computer vision to understand how video content influences human cognitive processes. At IBM, he has established himself as a prominent educator and course developer, creating comprehensive learning materials that have reached hundreds of thousands of students worldwide. His teaching portfolio encompasses a wide range of technical subjects, from foundational Python programming to advanced topics in artificial intelligence, machine learning, and computer vision. Santarcangelo's ability to translate complex technical concepts into accessible learning experiences has made him an influential figure in data science education, maintaining consistently high ratings from learners while continuing to push the boundaries of applied machine learning and artificial intelligence research.
Testimonials
Testimonials and success stories are a testament to the quality of this program and its impact on your career and learning journey. Be the first to help others make an informed decision by sharing your review of the course.
Frequently asked questions
Below are some of the most commonly asked questions about this course. We aim to provide clear and concise answers to help you better understand the course content, structure, and any other relevant information. If you have any additional questions or if your question is not listed here, please don't hesitate to reach out to our support team for further assistance.