Artificial Intelligence Python Programming
Course Overview
Master Python programming specifically for AI applications. Learn libraries like NumPy, Pandas, Matplotlib, and Scikit-learn. Build your first AI models and understand the fundamentals of AI development. This comprehensive course provides a hands-on introduction to AI through Python programming, covering machine learning concepts, data processing, and the development of AI projects.
This course is ideal for beginners in AI and programming, providing a practical foundation in AI using accessible software tools. You'll gain industry-relevant skills that align with Malaysian industries transitioning to IR 4.0, ensuring your skills are applicable in the local job market.
What Skills Will You Acquire?
- Programming Expertise: Master Python programming for AI applications, from basic syntax to advanced machine learning libraries
- Deep Learning: Learn to build and train neural networks using TensorFlow and Keras, two of the most widely used frameworks for AI development
- Project Development: Gain hands-on experience by working on integrated AI projects, applying your knowledge to real-world scenarios
- Data Processing & Analytics: Understand how to work with large datasets, clean and preprocess data, and draw insights using AI-driven techniques
- Automation and AI Integration: Learn to integrate AI solutions into business processes, making operations more efficient and data-driven
Course Curriculum
- Python syntax and basic programming concepts
- Data types, variables, and operators
- Control flow structures (loops, conditionals)
- Functions and modules
- Object-oriented programming basics
- File handling and data I/O
- Error handling and debugging
- NumPy: Numerical computing and array operations
- Pandas: Data manipulation and analysis
- Matplotlib: Data visualization and plotting
- Seaborn: Statistical data visualization
- Working with DataFrames and Series
- Data cleaning and preprocessing
- Data exploration and analysis
- Introduction to machine learning
- Supervised learning algorithms
- Unsupervised learning techniques
- Model training and evaluation
- Cross-validation and hyperparameter tuning
- Feature engineering and selection
- Model persistence and deployment
- Fundamentals of deep learning
- Neural networks architecture
- Backpropagation and gradient descent
- Model optimization techniques
- TensorFlow 2: Building and training models
- Keras: High-level neural networks API
- Convolutional Neural Networks (CNNs)
- Recurrent Neural Networks (RNNs)
- Data collection and acquisition
- Data cleaning and preprocessing
- Handling missing data
- Data transformation and normalization
- Working with large datasets
- Data storage and retrieval
- Data quality assessment
- Practical projects applying AI technologies
- AI applications in healthcare industry
- AI solutions for finance and fintech
- AI in manufacturing and automation
- Image classification projects
- Natural language processing applications
- Predictive analytics projects
- Deploying AI models in production environments
- Model serialization and loading
- API development for AI models
- Ensuring scalability and performance
- Model monitoring and maintenance
- Version control for AI models
- Cloud deployment strategies
- Ethical considerations in AI development
- Data privacy and security
- Bias detection and mitigation
- Fairness and equity in AI systems
- Transparency and explainability
- Responsible AI practices
- AI governance frameworks
Learning Outcomes
Upon completion of this course, you will be able to:
- Master Python programming fundamentals for AI applications
- Use NumPy, Pandas, Matplotlib, and Scikit-learn effectively
- Build and train machine learning models
- Develop deep learning models using TensorFlow and Keras
- Process and analyze large datasets
- Deploy AI models in production environments
- Apply AI technologies to real-world problems
- Understand ethical considerations in AI development
Technologies and Libraries You'll Learn
- Python - Core programming language
- NumPy - Numerical computing library
- Pandas - Data manipulation and analysis
- Matplotlib - Data visualization
- Scikit-learn - Machine learning library
- TensorFlow 2 - Deep learning framework
- Keras - High-level neural networks API
- Jupyter Notebooks - Interactive development environment
Who Should Take This Course?
- Beginners in AI and programming looking for a practical introduction
- Software developers wanting to transition into AI development
- Data analysts interested in machine learning
- Students pursuing careers in artificial intelligence
- Business professionals wanting to understand AI capabilities
- Anyone interested in building AI models and applications
Key Benefits
- Industry-Relevant Skills - Curriculum aligns with Malaysian industries transitioning to IR 4.0
- Hands-On Learning - Practical projects and real-world case studies provide experience needed to excel in AI roles
- Career-Boosting Potential - AI professionals are highly sought after in the current job market
- Cutting-Edge Knowledge - Stay at the forefront of AI innovations, learning the latest techniques and tools
- Comprehensive Coverage - From Python basics to advanced deep learning and deployment
- Portfolio Development - Build real AI projects for your portfolio
Prerequisites
This course is designed for beginners in AI and programming. Basic computer literacy is recommended. No prior programming experience is required, though familiarity with basic programming concepts would be helpful. The course starts with Python fundamentals and gradually progresses to advanced AI concepts, making it accessible to learners with varying backgrounds.
Certification
Upon successful completion of this course, you will receive a certificate of completion from TEC - Telecommunication Engineering College. This certificate validates your Python programming skills for AI applications, demonstrating your ability to build AI models, process data, and deploy AI solutions.
The course includes hands-on projects and assessments to ensure you have practical experience with Python AI libraries and frameworks, preparing you for real-world AI development roles.
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Contact Us for Course Information
enquiry@tec.edu.my