Industrial
Professional
Web Development with Data Science (PHP, Python, Angular, Machine Learning)
Modern web applications no longer stop at dynamic pages or responsive designs—they are increasingly intelligent, powered by data analysis and machine learning. This course combines full-stack web development with data science and machine learning, giving learners the skills to build robust, data-driven applications from the ground up.
The program begins with front-end and back-end foundations, using HTML5, CSS3, JavaScript, and Angular to craft responsive interfaces, and PHP and Python to handle server-side logic. Students master database management with MySQL and MongoDB, API development, authentication, and secure deployment practices, ensuring their applications are production-ready.
Midway through the course, learners transition into data science fundamentals, covering data collection, cleaning, analysis, and visualization with Python libraries such as NumPy, Pandas, and Matplotlib. They gain a working understanding of statistics and probability, building a strong analytical base to prepare for machine learning.
The final stage focuses on machine learning model development and integration, where students learn supervised and unsupervised algorithms, deploy ML models as APIs with Flask or Django, and embed intelligent features directly into web applications. Topics such as model evaluation, scaling, and monitoring ensure learners are prepared to handle real-world complexity.
Hands-on projects are central to every module, reinforcing concepts with practical implementation. Learners build everything from basic dynamic websites to advanced platforms featuring personalized recommendations, sentiment analysis, or predictive analytics. The capstone project challenges participants to deliver an end-to-end intelligent application that showcases their combined skills in web development, data processing, and machine learning integration.
By course completion, students will be equipped to design and deploy modern, scalable, AI-powered web applications, prepared for careers as web developers, data scientists, or AI engineers in an increasingly data-driven world.
Course Objectives
- Provide comprehensive training in full-stack web development using Angular, PHP, and Python.
- Develop expertise in relational and non-relational databases and secure API design.
- Build proficiency in data science workflows: data cleaning, analysis, and visualization.
- Teach core machine learning concepts and techniques for real-world web applications.
- Demonstrate ML model deployment and integration using REST APIs and microservices.
- Encourage hands-on learning through projects and a capstone application.
Learning Outcomes
By the end of this course, learners will be able to:
- Build responsive, dynamic front-end applications using Angular.
- Develop secure and scalable back-end systems using PHP and Python.
- Design, query, and optimize databases for high-performance web applications.
- Perform data collection, preprocessing, and exploratory analysis with Python.
- Develop, train, and evaluate machine learning models using standard libraries.
- Deploy ML models as APIs and integrate them into production web systems.
- Apply DevOps principles to host and scale applications on cloud platforms.
- Deliver a full-stack AI-driven application as a professional portfolio project.
Mode of Training:
- LIVE Online
- Offline in Kolkata
- Offline in Durgapur
- Offline in Institutions / Companies (for institutional and corporate training)
None
Course Modules
Industrial
- Duration - 30 to 40 Hours (2/3/4/6/8 Weeks)
- Daily / Weekly Classes
- 2 Case Studies & 1 Live Project
- Industrial Courses are only for students. You can avail this by producing valid proof of studentship. Work on assignments, case studies, and projects.
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WHEN WILL YOUR COURSE/TRAINING/INTERNSHIP START AFTER ADMISSION?
As per our policy, we start the course/training/internship within 10 days from the date of enrollment. If you enroll for future month/date, our schedule team will coordinate with you and assign your class. To communicate with our schedule team for preferred timing, email to training@ardentcollaborations.com. All courses/internships can be scheduled in customised manner as per your requirements. - Download Content
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Professional
- Duration - 60 to 80 Hours (12/16/20/24 Weeks)
- Daily / Weekly Classes
- 4 Case Studies & 1 Minor Project & 1 Live Project
- Professional Courses are more comprehensive. The learning is case study based and project oriented. Ideal for passout students and working professionals.
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WHEN WILL YOUR COURSE/TRAINING/INTERNSHIP START AFTER ADMISSION?
As per our policy, we start the course/training/internship within 10 days from the date of enrollment. If you enroll for future month/date, our schedule team will coordinate with you and assign your class. To communicate with our schedule team for preferred timing, email to training@ardentcollaborations.com. All courses/internships can be scheduled in customised manner as per your requirements. -
Download Content
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SPECIAL OFFER - SAVE 50%
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