Artificial Intelligence Expert Certificate
An advanced credential covering deep learning and neural networks, including practical work with TensorFlow, Keras and Kaggle, for people who want to build AI systems rather than just use them.
Why Take It
It evidences that you can choose, set up and train neural network architectures and understand the limits of the tooling, which supports a move into roles that build AI models.
Who It's For
- Engineers building machine learning models
- Data scientists moving into deep learning
- Data analysts and data stewards
- Marketing managers working with predictive models
- Anyone wanting to lead advanced AI development
What You'll Be Able to Do
- Explain the key ideas behind the deep learning approach
- Apply the theory and practice of neural network architecture and convergence
- Deploy the main neural network architectures and implement them
- Set up neural networks with common libraries and recognise tool limitations
- Use TensorFlow, Keras and Kaggle in guided projects
What the Syllabus Covers
- Deep learning fundamentals
- Neural network architecture and convergence
- Fundamental architectures and their implementation
- Setting up neural networks with TensorFlow and Keras
- Guided projects on Kaggle
Exam and Credential
- Questions
- 40
- Time Allowed
- 60 minutes
- Format
- Multiple choice
- Pass Mark
- 32/40 (80%)
- Delivery
- Online
- Languages
- English, Spanish
- Digital Badge
- Yes
- Valid For
- 3 years
Prerequisites
None; no formal prerequisites.
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