关于此 专业证书

60,111 次近期查看
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.
学生职业成果
24%
完成此 专项课程 后开始了新的职业。
18%
加薪或升职。
可分享的证书
完成后获得证书
100% 在线课程
立即开始,按照自己的计划学习。
灵活的计划
设置并保持灵活的截止日期。
中级
完成时间大约为8 个月
建议 3 小时/周
英语(English)
学生职业成果
24%
完成此 专项课程 后开始了新的职业。
18%
加薪或升职。
可分享的证书
完成后获得证书
100% 在线课程
立即开始,按照自己的计划学习。
灵活的计划
设置并保持灵活的截止日期。
中级
完成时间大约为8 个月
建议 3 小时/周
英语(English)

此专业证书包含 6 门课程

课程1

课程 1

使用 Python 进行机器学习

4.7
9,960 个评分
1,640 条评论
课程2

课程 2

Scalable Machine Learning on Big Data using Apache Spark

3.9
1,007 个评分
258 条评论
课程3

课程 3

Introduction to Deep Learning & Neural Networks with Keras

4.7
753 个评分
149 条评论
课程4

课程 4

Deep Neural Networks with PyTorch

4.4
730 个评分
161 条评论

提供方

Placeholder

IBM

常见问题

还有其他问题吗?请访问 学生帮助中心