Postgraduate Certificate in AI for Full-stack Development
-- viewing nowArtificial Intelligence is transforming the tech landscape, and full-stack developers are in high demand to drive innovation. Our Postgraduate Certificate in AI for Full-stack Development is designed for professionals who want to upskill and reskill in AI and full-stack development.
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Course details
• < AI > for Full-stack Development: Introduction
• Mathematics for AI: Linear Algebra, Probability, and Calculus
• Machine Learning Fundamentals: Supervised, Unsupervised, and Reinforcement Learning
• Deep Learning: Neural Networks, Convolutional Neural Networks (CNN), and Recurrent Neural Networks (RNN)
• Natural Language Processing (NLP): Text Analytics, Sentiment Analysis, and Named Entity Recognition
• Computer Vision: Object Detection, Image Classification, and Image Segmentation
• AI Frameworks: TensorFlow, Keras, PyTorch, and Scikit-learn
• AI Ethics and Bias: Responsible AI, Bias Mitigation, and Privacy Protection
• AI Project Management: Agile Methodologies, Version Control, and Testing
Career path
Entry requirements
- Basic understanding of the subject matter
- Proficiency in English language
- Computer and internet access
- Basic computer skills
- Dedication to complete the course
No prior formal qualifications required. Course designed for accessibility.
Course status
This course provides practical knowledge and skills for professional development. It is:
- Not accredited by a recognized body
- Not regulated by an authorized institution
- Complementary to formal qualifications
You'll receive a certificate of completion upon successfully finishing the course.
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