AI Career Accelerator
Instructor: Andrew
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Start from Nov 18
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Beginner Level
4 modules
Gain insight into a topic and learn the fundamentals.
(42,567 reviews)
Beginner Level
No prior experience required
Flexible schedule
Gain insight into a topic and learn the fundamentals.
4.5
Most learners liked this course
4.5
Skills you’ll gain
​Master ML foundations with linear algebra, statistics, regression, classification, clustering, and hands-on model building using Scikit-Learn, TensorFlow, and PyTorch.
Analyze and prepare data effectively through EDA with Matplotlib/Seaborn/Plotly and advanced feature engineering to enhance model performance.
Build intelligent, scalable workflows by integrating AI/ML into traditional ETL pipelines and designing robust training/testing systems that avoid data leakage.
Deploy and optimize models professionally using MLOps best practices, CI/CD, monitoring, drift detection—while exploring deep learning applications in NLP, CV, and modern LLMs.
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Assessments
4 assignments
Taught in English
Audio description in existing audio
Closed caption
31 languages available
Multiple Platform
Access on mobile and TV
There are 4 modules in this course
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