AliCloud AI Learning Route

What is the AliCloud AI Learning Route

AliCloud AI Learning Route is a set of systematic AI learning programs launched by the AliCloud development community, suitable for zero-basic to advanced developers. The whole set of routes is divided into five major stages: introduction to machine learning, TensorFlow framework mastery, machine learning in practice, natural language processing in practice and computer vision in practice, covering core AI technologies and application scenarios. Users can conduct online experiments through the AliCloud Tianchi platform, combining 30 boutique courses and 22 real-world cases to gradually master key skills such as data analysis, model training, and algorithm optimization. AliCloud provides community support to help learners exchange experiences and solve problems. After completing the study, users will have the ability to independently develop AI projects and can skillfully use the AliCloud PAI platform for model deployment and management.

Key features of AliCloud's AI Learning Route

• Systematic Learning Path: The learning route is divided into five major stages: Introduction to Machine Learning, TensorFlow Framework Essentials, Machine Learning in Action, Natural Language Processing in Action, and Computer Vision in Action, covering the complete knowledge system from basic theory to practical application.
• Rich online courses with real-world examplesThe company provides 30 online courses and 22 real-world cases, which allow users to learn through videos, documents, code samples and other means, practice with real scenarios, and improve their ability to solve real problems.
• Intelligent Learning Path Planning and Management: The platform intelligently recommends suitable learning paths based on users' learning behaviors and interests, and provides learning progress management, learning reports and data analysis functions to help users develop and adjust their learning plans.
• Lab on the Cloud Environment and Skills Certification: Based on the AliCloud PAI platform to provide an online experimental environment, it supports the direct invocation of GPU resources for model training. After completing the study, users can participate in the AliCloud ACA/ACP certification exam to enhance professional competitiveness.
• Developer Community SupportThe Aliyun Developer Forum provides technical Q&A, project collaboration and industry dynamics sharing to build a good learning and communication ecosystem.

AliCloud AI Learning Route official website address

Official website address: https://developer.aliyun.com/learning/roadmap/ai

Aliyun AI Learning Route Curriculum

• Introduction to Machine Learning: Through 3 courses (about 128 hours), learners will be helped to master the basic concepts of artificial intelligence, commonly used machine learning algorithms, and neural network principles, requiring a basic knowledge of Python programming and some math.
• TensorFlow framework and common libraries: This phase consists of 4 courses (about 78 hours) that provide in-depth coverage of the use of the TensorFlow framework, as well as tips on applying Python data science libraries such as NumPy, Pandas, and Matplotlib.
• Machine Learning in Action: Through 9 courses (about 94 hours), combined with actual business projects, such as recommender system, news classification, temperature prediction, etc., to help learners master data analysis, feature engineering, model construction and tuning and other practical skills.
• natural language processing (NLP) in action: This phase consists of 7 courses (about 67 hours) focusing on practical applications in NLP areas such as text categorization, sentiment analysis, machine translation, and conversational robots.
• Image recognition in action: Through 7 courses (about 57 hours), learn image recognition, target detection and other technologies, with real-world cases including face detection, cat and dog recognition, and CAPTCHA recognition.

How to use AliCloud AI Learning Routes

• Clarify learning objectives: Before you start learning, it is recommended to define your learning goals, such as mastering the fundamentals of machine learning, deep learning frameworks, natural language processing, or computer vision, and other specific directions.
• Access platforms: Visit the official website of AliCloud AI Learning Route.
• staged learning: The AliCloud AI learning route is divided into five stages, and users are advised to learn step by step:
  • Introduction to Machine Learning: Learn basic AI concepts, principles of common algorithms, and Python programming fundamentals.
  • TensorFlow framework and common libraries: In-depth study of the TensorFlow framework and Python data science libraries such as NumPy and Pandas.
  • Machine Learning in Action: Acquire skills in data analysis, feature engineering, model construction and tuning through real-world projects such as recommender systems, news categorization, and temperature prediction.
  • natural language processing (NLP) in action: Practice NLP tasks such as text categorization, sentiment analysis, machine translation, and conversational bots.
  • Computer vision in action: Learning techniques such as image recognition, target detection, and mastering tools and algorithms such as OpenCV and CNN.
• Integration of practical projects: AliCloud provides 22 real-world cases, users can conduct online experiments through the AliCloud PAI platform, learning and practicing, consolidating theoretical knowledge and enhancing practical development capabilities.
• Using the AliCloud PAI platform: AliCloud PAI platform provides one-stop algorithm services, including data preparation, preprocessing, data visualization, algorithm modeling and model evaluation. Users can quickly build and deploy AI models through visualization interface or command line operation.
• Participate in community exchanges and certification exams: During the learning process, users can join the Aliyun developer community to exchange experiences and solve problems with other learners. Aliyun provides ACA/ACP certification exams to help users test their learning achievements and enhance their professional competitiveness.

Product Advantages of AliCloud AI Learning Route

• Systematic and structured learning paths: AliCloud AI Learning Route provides a complete learning path from introductory to advanced to expert level, covering multiple core areas such as AI basics, machine learning, deep learning, natural language processing (NLP), computer vision, and so on, to help users master AI technology step by step.
• Rich in real-world cases and project-driven: The learning route contains 30 online courses and 22 real-world cases, with a total teaching video length of 424 hours. Through real project cases (such as recommendation system, image recognition, text categorization, etc.), users can quickly transform theoretical knowledge into practical ability.
• Deep integration with AliCloud PAI platform: AliCloud AI Learning Route is seamlessly integrated with the PAI (Platform for AI) platform, allowing users to directly use the cloud-based experimental environment, GPU resources, visual modeling tools (Designer), interactive programming environment (DSW), and Distributed Training Services (DLC) provided by PAI during the learning process, which greatly reduces the threshold of AI development.
• Supports multiple mainstream AI frameworks: The platform is compatible with mainstream deep learning frameworks such as TensorFlow, PyTorch, Megatron, DeepSpeed, etc., meeting the technical preferences and project needs of different developers.
• High performance and large-scale training capabilities: The PAI platform supports large-scale distributed training of hundreds of billions of feature samples, with high-performance computing capabilities, suitable for enterprise-level AI application development.
• Low-code and zero-code development support: Through the visual modeling tool (Designer), users can quickly build AI models through drag-and-drop to achieve low-code or even zero-code development, suitable for non-professional developers to quickly get started.
• Free Resources and Open Communities: Most of the courses and resources are free and open, lowering the threshold of learning. Aliyun developer community provides technical communication, project collaboration and experience sharing to build a good learning ecosystem.

Application Scenarios for AliCloud's AI Learning Route

The application scenarios of AliCloud's AI learning route include: enterprise AI development and deployment, based on the PAI platform to realize marketing applications such as commodity recommendation, user profiling, and precise placement of advertisements; colleges and universities and scientific research institutes, where teachers and students of colleges and universities and scientific researchers can master the basic theories and cutting-edge technologies of AI, and conduct algorithmic validation in conjunction with the GPU resources and experimental environments provided by AliCloud's PAI platform, data modeling and academic research. Entrepreneurs and innovative projects, entrepreneurs can obtain AI technology solutions at low cost through the AliCloud AI learning route, quickly verify the feasibility of products and shorten the development cycle.