Detailed Description
This AI Engineering Masterclass is designed to take you from a complete beginner to a confident AI Engineer. You’ll learn foundational concepts, advanced AI techniques, and practical skills for deploying AI solutions. The course covers Python programming, data preprocessing, machine learning, neural networks, deep learning, computer vision, and natural language processing (NLP).
Hands-on projects and real-world examples are embedded in each module to help you build production-ready AI applications. By the end, you’ll be capable of solving real business and technical challenges with AI technologies.
Certificate
Earn a verifiable certificate upon completion
Access
Lifetime access to course materials
What Will Students Learn? (Outcomes)
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Build AI models using Python, TensorFlow, and PyTorch
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Preprocess, clean, and analyze complex datasets for AI model training
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Train, evaluate, and optimize machine learning models for regression, classification, and clustering
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Design and implement neural networks, including CNNs and RNNs, for advanced AI applications
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Apply NLP techniques to analyze, interpret, and generate human-like text
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Leverage transfer learning to adapt pre-trained models for new tasks
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Deploy AI models with scalable APIs and containerization tools like Docker
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Monitor AI model performance, detect data drift, and retrain models
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Solve real-world business and technical challenges using AI-driven approaches
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Develop end-to-end AI projects from ideation to deployment
Requirements
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Basic programming knowledge (Python familiarity recommended but not mandatory)
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Curiosity and enthusiasm for AI
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Access to a computer with internet and sufficient processing power
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Basic math skills (algebra, basic statistics)
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No prior AI experience required
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Optional: Python, Jupyter Notebook, and AI libraries (installation guidance provided)
- Who can Join: Everyone
- Effort: 10-15 hours/week
- Level: Beginner to Intermediate
- Language: Urdu
- Start Date: Rolling Admissions