AI Manager - basic course
Learn the foundations of AI, programming, data analysis, machine learning, and practical AI applications.
About this course
This comprehensive 320-hour hybrid course offers a strong foundation in artificial intelligence (AI), programming, and data analysis. Participants will learn the basics of AI, including machine learning and deep learning techniques, and explore practical applications of AI in areas like image processing and chatbot development. The course also covers essential AI tools and frameworks such as TensorFlow and Keras, with hands-on projects. The 'Train the Trainer' module is designed to help participants teach AI-related topics in professional settings, offering valuable teaching techniques and curriculum design strategies.
What you'll learn
- Introduction to AI and data analysis
- Machine learning and deep learning fundamentals
- AI tools, frameworks, and chatbot development
- AI in image and video processing
Course includes:
- 320 hours of hybrid training combining online and in-person sessions
- Access to AI tools, frameworks, and programming resources
- Practical projects on machine learning, chatbots, and AI applications
- Course materials and 'Train the Trainer' resources
Requirements:
- Basic knowledge of programming and statistics
- Interest in AI and machine learning
- Computer with internet access
- No prior AI experience required
Course content:
- Introduction to Artificial Intelligence: Overview of AI concepts, history, and its role in modern industries
- Data Analysis and Statistics: Fundamentals of data analysis, statistics, and their importance in AI projects
- Programming for AI: Introduction to programming languages commonly used in AI (Python, R), including hands-on coding exercises
- Machine Learning: Basics of supervised and unsupervised learning, classification, regression, and model evaluation
- Deep Learning: Neural networks, convolutional neural networks (CNNs), and recurrent neural networks (RNNs) for complex AI tasks
- Image and Video Processing with AI: Using AI to enhance, analyze, and generate images and videos through machine learning models
- Applications of AI and Chatbots: Building AI-powered chatbots and other real-world applications using natural language processing (NLP)
- AI Tools and Frameworks: Hands-on practice with popular AI frameworks like TensorFlow, Keras, PyTorch, and scikit-learn
- Train the Trainer: Developing skills to teach and lead AI courses, including curriculum planning and practical teaching techniques
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