This specialization features Coursera Coach! A smarter way to learn with interactive, real-time conversations that help you test your knowledge, challenge assumptions, and deepen your understanding as you progress through the specialization. The AI Engineer Associate Specialization will equip you with essential skills for a career in AI engineering. You will start by mastering feature engineering, model evaluation, and advanced machine learning algorithms. The specialization dives deep into ensemble learning, boosting, XGBoost, and techniques for optimizing models like cross-validation and hyperparameter tuning. Next, you’ll explore deep learning fundamentals, including neural networks, forward propagation, and loss functions. You'll also gain hands-on experience with deep learning frameworks such as TensorFlow and PyTorch, with applications like image classification and natural language processing. The specialization concludes by introducing AI agents and their practical applications in industries like healthcare, robotics, and business. This specialization is ideal for learners with a basic understanding of programming and machine learning. Intermediate in difficulty, it requires Python knowledge and an interest in data science. By the end of the specialization, you will be able to implement machine learning algorithms, build neural networks, and develop AI agents for real-world use cases.
CERTIFICATEKatılım Sertifikası
FORMAT100% Online
DURATION1 ay
What you'll learn
Python Programming
Classification Algorithms
Model Evaluation
Unsupervised Learning
Data Preprocessing
Statistical Machine Learning
Model Optimization
Model Training
Dimensionality Reduction
Machine Learning Methods
PyTorch (Machine Learning Library)
Transfer Learning
Course Content
3 topics
Kurs 1Machine Learning Foundations
Kurs 2Deep Learning and Advanced Techniques
Kurs 3AI Engineering and Deployment
Details
ProviderPackt
TypeCourse
CategoryData Science & AI
LevelIntermediate
Duration1 ay
LanguageEnglish
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