IBM AI Engineering

Resumen

Revolutionize your career with the power of AI through the IBM AI Engineering Professional Certificate. This immersive 6-course program is your gateway to mastering the dynamic field of AI and machine learning, crucial for driving innovation across various industries today.

Dive deep into the core concepts of machine learning and deep learning, including essential theories behind supervised and unsupervised learning. With a focus on practical application, you will learn to harness programming languages like Python to implement machine learning algorithms and deep learning neural networks.

Explore the use of premier machine learning and deep learning libraries, including SciPy, ScikitLearn, Keras, PyTorch, and TensorFlow.

Apply your knowledge to real-world industry challenges involving object recognition, computer vision, image and video processing, text analytics, and natural language processing (NLP). This program doesn’t just stop at theory but propels you into hands-on projects where you’ll develop competence in applying machine learning algorithms on big data through Apache Spark, and constructing, training, and deploying sophisticated deep architectures like convolutional neural networks, recurrent networks, and autoencoders.

By completing this Professional Certificate, not only will you earn a credential from Coursera but also receive a digital badge from IBM, showcasing your expertise in AI engineering to the world.

This program is part of key categories including Artificial Intelligence, Computer Vision, Deep Learning, Neural Networks, TensorFlow, and Keras Courses. Join now to build the future-proof skills that will propel your career as an AI or ML engineer.

Provider:

Coursera  Professional Certificate

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Impartido por

Alex Aklson, Joseph Santarcangelo, Romeo Kienzler and SAEED AGHABOZORGI

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Materias