Developing AI Applications with Python and Flask
Learn to build and deploy AI-powered web applications using Python, Flask, and IBM Watson services, integrating advanced AI functionalities.
Learn to build and deploy AI-powered web applications using Python, Flask, and IBM Watson services, integrating advanced AI functionalities.
This course cannot be purchased separately - to access the complete learning experience, graded assignments, and earn certificates, you'll need to enroll in the full IBM DevOps and Software Engineering Professional Certificate program. You can audit this specific course for free to explore the content, which includes access to course materials and lectures. This allows you to learn at your own pace without any financial commitment.
4.4
(738 ratings)
83,234 already enrolled
Instructors:
English
বাংলা, اردو, Azərbaycanca, 1 more
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What you'll learn
Create Python web applications using Flask framework
Integrate IBM Watson AI services into web applications
Implement unit testing and package applications
Follow PEP8 coding standards
Deploy AI-powered web applications
Skills you'll gain
This course includes:
1.4 Hours PreRecorded video
4 assignments
Access on Mobile, Tablet, Desktop
FullTime access
Shareable certificate
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There are 3 modules in this course
This comprehensive course teaches developers how to create AI-enabled web applications using Python and Flask. The curriculum covers Python best practices, web application development with Flask, and integration with IBM Watson AI services. Students learn essential skills including unit testing, package development, error handling, and API creation. Through hands-on projects, learners build and deploy AI applications including sentiment analysis and emotion detection tools while following industry coding standards.
Python Coding Practices and Packaging Concepts
Module 1 · 3 Hours to complete
Web App Deployment using Flask
Module 2 · 4 Hours to complete
Creating AI Application and Deploy using Flask
Module 3 · 3 Hours to complete
Fee Structure
Instructors
Experienced Educator and Applied AI Researcher with a Passion for Knowledge Sharing
With over a decade of university-level teaching experience, this passionate educator has developed numerous course modules, educational content, and hands-on lab designs. As a doctorate-level researcher specializing in applied AI, machine learning, and deep learning applications, they are dedicated to advancing both academic and practical knowledge. Their extensive background spans curriculum development, research, and fostering student engagement through practical projects.
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
Testimonials
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4.4 course rating
738 ratings
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.