Artificial intelligence (AI) is revolutionizing entire industries, changing the way companies across sectors leverage data to make decisions. To stay competitive, organizations need qualified AI engineers who use cutting-edge methods like machine learning algorithms and deep learning neural networks to provide data driven actionable intelligence for their businesses. This 6-course Professional Certificate is designed to equip you with the tools you need to succeed in your career as an AI or ML engineer.
You’ll master fundamental concepts of machine learning and deep learning, including supervised and unsupervised learning, using programming languages like Python. You’ll apply popular machine learning and deep learning libraries such as SciPy, ScikitLearn, Keras, PyTorch, and Tensorflow to industry problems involving object recognition, computer vision, image and video processing, text analytics, natural language processing (NLP), recommender systems, and other types of classifiers.
Through hands-on projects, you’ll gain essential data science skills scaling machine learning algorithms on big data using Apache Spark. You’ll build, train, and deploy different types of deep architectures, including convolutional neural networks, recurrent networks, and autoencoders.
In addition to earning a Professional Certificate from Coursera, you will also receive a digital badge from IBM recognizing your proficiency in AI engineering.
WHAT YOU WILL LEARN
Coursera
Dive into the world of deep learning and master the powerful PyTorch framework with our expert-led course. From understanding basic concepts like tensors and automatic differentiation, to implementing complex models such as convolutional networks and recurrent neural networks, you'll gain a thorough understanding of building state-of-the-art deep learning solutions.
Coursera
Discover the power of Machine Learning with Python in this beginner-friendly course. Learn about the purpose and practical applications of Machine Learning, delve into key concepts like supervised and unsupervised learning, model evaluation techniques, and explore a variety of essential machine learning algorithms.
Coursera
Embark on a journey into the fascinating world of deep learning and neural networks with our expert-led course. Discover the fundamentals of deep learning, compare it to artificial neural networks, delve into different models, and get hands-on experience by creating your first model using the powerful Keras library.
Coursera
Dive into the world of scalable machine learning with our expert-led course. Learn how to harness the full potential of Big Data using Apache Spark, a powerful open-source framework that allows you to handle massive data sets effectively and cost-efficiently. Perfect for aspiring and professional data scientists looking to expand their expertise in processing large datasets.
Coursera
Discover how to harness the power of deep learning with TensorFlow in this comprehensive online course. Learn to build sophisticated neural networks capable of uncovering hidden patterns within unstructured and unlabeled data, such as images, sound, and text. Apply these advanced techniques to tackle complex real-world challenges.
Coursera
Dive into the practical application of AI and deep learning with Coursera's 'AI Capstone Project with Deep Learning'. This comprehensive course equips learners with the skills to tackle real-world problems by developing, testing, and presenting a functional deep learning model. Ideal for those who want to translate theoretical knowledge into actionable insights.