About the Web Development Course
Program Highlights
Course Curriculum
Module 1: AI Fundamentals, Mathematics, and Web Development Essentials Foundations
- Apply mathematical concepts such as linear algebra and calculus to solve problems in AI and web development
- Design and implement basic AI models using Python and relevant libraries
- Evaluate the performance of AI models using metrics such as accuracy and precision
Module 2: Data Engineering, Preprocessing, and Feature Pipelines
- Develop data pipelines to preprocess and transform raw data into usable formats
- Configure data storage solutions such as databases and data warehouses
- Analyze data quality issues and implement data validation techniques
Module 3: Model Architecture, Algorithm Design, and Web Development Essentials Methods
- Implement deep learning models such as convolutional neural networks and recurrent neural networks
- Design and optimize algorithmic solutions for web development problems
- Integrate AI models with web applications using APIs and microservices
Module 4: Training, Hyperparameter Optimization, and Evaluation
- Train AI models using various optimization algorithms and hyperparameter tuning techniques
- Evaluate the performance of AI models using cross-validation and other evaluation metrics
- Configure and deploy AI models in cloud-based environments
Module 5: Deployment, MLOps, and Production Workflows
- Deploy AI models in production environments using containerization and orchestration tools
- Develop and implement MLOps workflows to manage AI model lifecycles
- Monitor and maintain AI models in production using logging and monitoring tools
Module 6: Ethics, Bias Mitigation, and Responsible AI Practices
- Analyze and mitigate bias in AI models using fairness metrics and techniques
- Develop and implement responsible AI practices such as transparency and explainability
- Evaluate the ethical implications of AI systems and develop strategies for ethical AI development
Module 7: Industry Integration, Business Applications, and Case Studies
- Apply AI and web development concepts to real-world industry problems and case studies
- Develop and implement AI-powered solutions for business applications
- Evaluate the impact of AI and web development on business outcomes and revenue growth
Tools, Techniques, or Platforms Covered
JavaScript
TensorFlow
PyTorch
React
Node.js
Real-World Applications
- Apply Web Development Essentials with AI Integration skills directly to academic research, thesis work, and publications
- Build a professional portfolio showcasing practical AI and Web Development competencies
- Solve industry-relevant problems using Web Development Essentials with AI Integration methodologies and tools
- Contribute to open-source projects and collaborative research in AI and Web Development
- Prepare for competitive examinations, interviews, and professional certifications in AI and Web Development
Who Should Attend & Prerequisites
- Designed for Professionals.
- Designed for Students.
- No prior experience required. Basic interest in artificial intelligence is sufficient.
- Mentorship by industry experts and NSTC faculty.
Prerequisites:







