- Python Libraries
- Machine Learning
- regression
- Hierarchical Clustering
- K-Means Clustering
- Deep Learning
- Artificial Neural Network
- Artificial Intelligence (AI)
- keras
- Opencv
- Image Processing
- Computer Vision
IBM AI 工程 專業證書
Launch your career as an AI engineer. 了解如何使用机器学习和深度学习技术通过大数据提供业务见解。
您將學到的內容有
Describe machine learning, deep learning, neural networks, and ML algorithms like classification, regression, clustering, and dimensional reduction
Implement supervised and unsupervised machine learning models using SciPy and ScikitLearn
Deploy machine learning algorithms and pipelines on Apache Spark
Build deep learning models and neural networks using Keras, PyTorch, and TensorFlow
您將獲得的技能
關於此 專業證書
應用的學習項目
Throughout the program, you will build a portfolio of projects demonstrating your mastery of course topics. The hands-on projects will give you a practical working knowledge of Machine Learning libraries and Deep Learning frameworks such as SciPy, ScikitLearn, Keras, PyTorch, and Tensorflow. You will also complete an in-depth Capstone Project, where you’ll apply your AI and Neural Network skills to a real-world challenge and demonstrate your ability to communicate project outcomes.
需要一些相關領域經驗。需要一些相關經驗。
需要一些相關領域經驗。需要一些相關經驗。
專業證書是什麼?
塑造技能,做好工作準備
無論您是想開始新的職業生涯,還是改變目前職業,Coursera 專業證書都能幫您為開始工作做好準備。選擇最適合的時間和地點,自行安排學習進度。立即註冊,探索新的職業道路,可免費試用 7 天。您可以隨時暫停學習或結束訂閱。
實踐項目
將您的技能應用到實踐項目,並豐富您的簡歷內容,進而向潛在雇主展示您已為開始工作做好準備。您需要成功完成項目以獲得證書。
獲得職業證書
當完後計劃中的所有課程後,您將獲得一張證書。您可以將其在專業網絡上分享,並獲得使用職業支持資源的權限,這能夠為您開啟職業生涯提供助力。許多招聘合作夥伴認可我們的許多專業證書,並且我們還有許多合作夥伴可以幫助您準備認證考試。您可以在適用的各個專業證書頁面上找到更多信息。

此專業證書包含 6 門課程
使用 Python 进行机器学习
This course dives into the basics of machine learning using an approachable, and well-known programming language, Python.
Introduction to Deep Learning & Neural Networks with Keras
Looking to start a career in Deep Learning? Look no further. This course will introduce you to the field of deep learning and help you answer many questions that people are asking nowadays, like what is deep learning, and how do deep learning models compare to artificial neural networks? You will learn about the different deep learning models and build your first deep learning model using the Keras library.
Introduction to Computer Vision and Image Processing
Computer Vision is one of the most exciting fields in Machine Learning and AI. It has applications in many industries, such as self-driving cars, robotics, augmented reality, and much more. In this beginner-friendly course, you will understand computer vision and learn about its various applications across many industries.
Deep Neural Networks with PyTorch
The course will teach you how to develop deep learning models using Pytorch. The course will start with Pytorch's tensors and Automatic differentiation package. Then each section will cover different models starting off with fundamentals such as Linear Regression, and logistic/softmax regression. Followed by Feedforward deep neural networks, the role of different activation functions, normalization and dropout layers. Then Convolutional Neural Networks and Transfer learning will be covered. Finally, several other Deep learning methods will be covered.
提供方

IBM
IBM is the global leader in business transformation through an open hybrid cloud platform and AI, serving clients in more than 170 countries around the world. Today 47 of the Fortune 50 Companies rely on the IBM Cloud to run their business, and IBM Watson enterprise AI is hard at work in more than 30,000 engagements. IBM is also one of the world’s most vital corporate research organizations, with 28 consecutive years of patent leadership. Above all, guided by principles for trust and transparency and support for a more inclusive society, IBM is committed to being a responsible technology innovator and a force for good in the world.
獲得學位的學分
常見問題
退款政策是如何规定的?
我可以只注册一门课程吗?
此课程是 100% 在线学习吗?是否需要现场参加课程?
How can I earn my IBM Badge?
What are some examples of careers in artificial intelligence?
How long does it take to complete the Professional Certificate?
What background knowledge is necessary?
Do I need to take the courses in a specific order?
Will I earn university credit for completing the Professional Certificate?
What will I be able to do upon completing the Professional Certificate?
還有其他問題嗎?請訪問 學生幫助中心。