Master full-stack web development with Django, SQL, and cloud databases in this comprehensive course.
Master full-stack web development with Django, SQL, and cloud databases in this comprehensive course.
Dive into full-stack web development with this hands-on course focusing on Django, SQL, and database integration. You'll learn to build and deploy database-powered web applications using Django's powerful features and industry-standard tools. The course covers SQL basics, Object-Relational Mapping (ORM), Django's Model-View-Template pattern, and Bootstrap integration. Through practical labs and a final project, you'll gain experience in creating, managing, and deploying a full-stack Django application on the cloud, preparing you for real-world web development challenges.
4.6
(27 ratings)
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English
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What you'll learn
Compose SQL queries for database operations
Implement Object-Relational Mapping (ORM) in Django
Develop web applications using Django's Model-View-Template pattern
Integrate Bootstrap for responsive web design
Create and manage Django models, views, and templates
Implement authentication in Django applications
Skills you'll gain
This course includes:
PreRecorded video
Graded assignments, exams
Access on Mobile, Tablet, Desktop
Limited Access access
Shareable certificate
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There are 4 modules in this course
This comprehensive course covers essential aspects of full-stack web development using Django, SQL, and cloud databases. The curriculum is designed to provide a strong foundation in database concepts, SQL querying, and Object-Relational Mapping, before diving into Django's powerful features for web application development. Key areas include creating Django models, views, and templates, integrating Bootstrap for responsive design, and implementing authentication systems. The course emphasizes hands-on learning through numerous labs and a final project that involves developing and deploying a full-stack Django application on IBM Cloud. This practical approach ensures students gain real-world experience in creating and managing database-powered web applications.
Introduction to Databases
Module 1
ORM: Bridging the Gap between the Real World and Relational Model
Module 2
Full-stack Django Development
Module 3
Consolidate and Deploy Your Django App
Module 4
Fee Structure
Instructors
87 Courses
AI and Machine Learning Expert at IBM Canada
Yan Luo serves as a Data Scientist and Developer at IBM Canada, where he applies his expertise in machine learning and artificial intelligence to develop innovative cognitive applications across diverse domains including software repository mining, personalized health management, wireless networks, and digital banking. After earning his Ph.D. in Machine Learning from the University of Western Ontario, he has contributed significantly to technical education through developing and teaching multiple data science courses, including Applied Data Science Capstone, Machine Learning Capstone, and Introduction to R Programming for Data Science. His work focuses on practical applications of AI and cognitive computing, bridging the gap between theoretical machine learning concepts and real-world business solutions.
31 Courses
Technology Education and Skills Development Leader at IBM
Rav Ahuja serves as the Chief Content Officer and Global Program Director at IBM Skills Network, where he leads curriculum creation, growth strategy, and partner programs. After earning his B.Eng. from McGill University and MBA from the University of Western Ontario, he co-founded Cognitive Class, an IBM initiative focused on democratizing access to in-demand technology skills. Based at the IBM Canada Lab in Toronto, he specializes in developing instructional solutions for AI, Data Science, Cloud Computing, and Cybersecurity. His impact on technology education is evidenced through his role as architect of numerous IBM Professional Certificates and instructor for over 35 online courses, including popular offerings like "What is Data Science?", "Introduction to Cloud Computing," and "Introduction to Artificial Intelligence (AI)." His courses have reached hundreds of thousands of learners worldwide, with "What is Data Science?" alone enrolling over 638,000 students. His recent work includes developing new Generative AI courses and career guidance content for IBM's Professional Certificate programs, demonstrating his ongoing commitment to preparing learners for emerging technology careers
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4.6 course rating
27 ratings
Frequently asked questions
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