IBM AI Engineering Professional Certificate
IBM certification in AI engineering: machine learning, deep learning with Keras, PyTorch and TensorFlow, and generative AI.
What this course covers
- Build ML models with scikit-learn
- Create deep learning models with Keras and TensorFlow
- Develop neural networks in PyTorch
- Apply computer vision and NLP
- Build generative AI and LLM applications
- Complete a hands-on AI capstone
Skills covered
Course details
Syllabus: 7 courses
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Course 1:
Machine Learning with Python
Regression, classification, clustering
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Course 2:
Intro to Deep Learning and Neural Networks with Keras
Neural network basics
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Course 3:
Deep Learning with Keras and TensorFlow
CNNs, transformers, training
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Course 4:
Intro to Neural Networks and PyTorch
Tensors, training loops
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Course 5:
Deep Learning with PyTorch
Advanced models
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Course 6:
Generative AI and LLMs
Architecture, fine-tuning, applications
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Course 7:
AI Capstone Project
End-to-end deep learning project
Your certificate
Certificate of Completion
This is to certify that
Your Name
has successfully completed the certificate program
IBM AI Engineering Professional Certificate
A certificate with your name on it
Finish all the graded work to get a certificate with a verification ID. Attach it to your college and job applications.
- Verifiable certificate ID
- Download as PDF
- Share on LinkedIn
- Strengthen your college application
Frequently asked questions
Basic Python and math knowledge is recommended.
Yes, learners earn the IBM AI Engineering Professional Certificate on completion.
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