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Requirements
- Familiarity with using a computer, installing software, and navigating file systems.
- Understanding of basic programming concepts such as variables, loops, conditionals, and functions. Knowledge of Python or JavaScript is recommended.
- Exposure to HTML, CSS, and basic JavaScript concepts will help, though beginners can learn alongside the course.
- Comfort with basic algebra, arithmetic, and logical reasoning to understand algorithms and AI/ML concepts.
- Stable internet connection for downloading libraries, accessing APIs, and cloud deployment. Ability to install Python, Node.js, or required software tools.
- Open mindset to try out AI/ML models, debug code, and explore new solutions in web development.
Features
- Hands-On Projects
- Full-Stack Web Development
- AI/ML Integration
- Capstone Project
- Industry-Relevant Tools
- Interactive Learning
- Real-World Problem Solving
- Deployment Skills
- Mentor Support
- Portfolio & Career Ready
Target audiences
- Students or professionals looking to learn full-stack web development with modern AI/ML integration.
- Learners interested in applying artificial intelligence and machine learning to real-world web applications.
- Individuals seeking to transition into tech roles involving AI-powered applications, web development, or data-driven solutions.
- College students or fresh graduates who want hands-on experience building portfolio-ready AI/ML web projects.
- Tech founders or innovators who want to build intelligent web solutions for startups or small businesses.
- Developers, designers, or engineers aiming to enhance their skill set with AI/ML-powered web solutions.
Equip students with the skills to build AI/ML-powered web applications from scratch. Students will learn to develop modern frontends, implement robust backends, integrate databases, and deploy AI/ML models into real-world applications. The course emphasizes hands-on experience in combining web development with artificial intelligence, enabling students to create intelligent, interactive, and scalable applications.
By the end of the course, students will understand the end-to-end workflow of AI/ML web apps, gain practical experience in solving real-world problems, and be prepared to innovate in the rapidly growing field of AI-enabled web technologies.
Students will also get the opportunity to explore and study a variety of real-world AI/ML web projects, which you can view here: https://capstone.codeblazar.com/
Curriculum
- 8 Sections
- 40 Lessons
- 10 Weeks
Expand all sectionsCollapse all sections
- Week 1: Introduction to Web Development & Project OverviewUnderstand web technologies and AI/ML project scope.5
- Backend Development & APIsLearn to build a backend, REST APIs, and connect with frontend.5
- Introduction to AI/ML for Web ApplicationsUnderstand AI/ML fundamentals and integration with web apps.5
- AI/ML Web Application Development – Phase 1Start building Capstone Project.5
- AI/ML Web Application Development – Phase 2Continue building project features & integrate AI/ML models.5
- Advanced Features & AI/ML EnhancementsAdd advanced features, optimize AI/ML models.5
- Capstone Project Development & CustomizationStudents finalize their projects with unique features.5
- Capstone Project Completion & ShowcaseComplete, test, and showcase final AI/ML web applications.5
Course Includes:
- Price:
Free
- Instructor:Ashish Kumar
- Duration:10 weeks
Lessons:40- Students:1
- Language:English + Hindi
- Certifications:No