職能培力學堂

1. Introduction 2. Machine Learning - The Foundation of AI 3. Text and Speech - Understanding Language 4. Computer Vision - Seeing the World Through AI 5. Bots - Conversation as a Platform

In this hands-on course, learn about Microsoft Cognitive Services introduction and Azure account application, and teach AI computer vision recognition-Computer Vision Optical Character Recognition (OCR) and handwriting recognizer. In the visual part, learn face recognition services, facial recognition emotions, and AI-defined vision. At the same time, AI computer identification is used to integrate mobile devices to understand how AI devices are used for mobile device identification. Finally, it is matched with the production and application: the integration of ASP.NET MVC cloud website, mobile website, AI computer identification and analysis of data.

In this practical course, we will learn how to use ASP.NET MVC web applications to access SQL Server structured data and unstructured data such as XML, JSON, CSV, or text files, and integrate open data to organize data Useful information, and finally integrated the Bootstrap package to create a graphic web page, and designed to support mobile, tablet and desktop responsive websites. Finally, it is deployed in Azure Web Sites to build a cloud website to provide users with browsing queries.

1.The beginning of DNA body-mind-spirit healing 2.Emotion creation and stress relaxation 3.DNA Mindfulness-based cognitive therapy and practical application 4.Spiritual healing approach and art of relationships

1. NoSQL fundamentals 2. NoSQL options in Microsoft Azure 3. Core techniques for using DocumentDB, Azure Table Storage, and MongoDB 4. Other techniques for accessing and improving performance of your NoSQL storage

1. Python Basics Explore Python language fundamentals, including basic syntax, variables, and types 2. Python Lists Create and manipulate regular Python lists 3. Functions and Packages Use functions and import packages 4. Numpy Build Numpy arrays, and perform interesting calculations 5. Matplotlib Create and customize plots on real data 6. Control flow and Pandas Supercharge your scripts with control flow, and get to know the Pandas DataFrame

1. Azure Data Lake technologies to store and process data using U-SQL jobs 2. Create and use U-SQL catalog objects 3. Extend your data processing scripts with custom C# code 4. Monitor and optimize U-SQL jobs

1. Introduction to Azure Machine Learning 2. Building Predictive Models with Azure Machine Learning 3. Operationalizing Machine Learning Models 4. Using Azure Machine Learning in Big Data Solutions

1. Gather and transform data from multiple sources 2. Discover and combine data in mashups 3. Learn about data model creation 4. Explore, analyze, and visualize data

1. How to get started 2. Use logic in oral expression 3. Get to the point 4. Information delivery and idea Integration 5. Persuade your audience by using case

1.Multi-dimension thinking and creative inspiration. 2.Creative techniques：Using Mind-map in both western and eastern culture. 3.Creative evaluation：Six thinking hats. 4.Executive strategy：Six action shoes.

1.Multi-dimension thinking and creative inspiration. 2.Creative techniques：Using Mind-map in both western and eastern culture. 3.Creative evaluation：Six thinking hats. 4.Executive strategy：Six action shoes. 5.Put into practice.

1. Introduction of professional resume framework. 2. Transnational competency learning and talent training. 3. Career learning blueprint.

1.Introduction of team role and competency. 2.Build team consensus and collaboration. 3.High-performance teamwork. 4.Team leadership and accountability. 5.Scenario simulation.

1. Introduction 2. Data Basics 3. Fundamentals of Databases 4. Introduction to Big Data

1. How to make good use of your talent. 2. Realize the advantage and disadvantage of people in your group. 3. Realize personal values and attitudes, and make a change！ 4. Be positive.

1. Doing self-expression by using subconscious 2. Ask correct questions. 3. Knowing yourself by using DNA Characterology. 4.Find your talent.

This course mainly introduces govemment regulations and certificates that need attention in various industrial sites, including dust operations, heavy equipment for mobile devices, occupational safety and health, labor regulations, prefusion and resource circulation, indoor quality improvement, etc.

1.The Trend and Construction of Micro-Entrepreneurship. 2.Proposal Personnel and Business Copy. 3.Practical Experience of Operate Self-media. 4.Activate the Three Forces of Career Accomplish Micro-Entrepreneurship Dream.

1.Explore the wisdom in the case 2.Use mind mapping to learn innovative thinking: five tips for asking questions. 3.Three ways to improve acuity with mind map 4.The basic concepts of mind mapping: an introduction to visual thinking 5.Mind map techniques: outline, branches, keywords 6.The usage of mind map: input, sorting, output 7.The secret method of mind map: concrete and abstract, induction and deduction, formatted output 8.Mind map review system

1.To interpret the hidden meaning of people’s word and mindset. 2.To evaluate the skills of self-thinking. 3.To cultivate inside meaning. 4.Looking for the information and supportive evidence. 5.Improving self-value by using critical thinking.

1.Creating negotiation situations and perception development 2.Judge the situation and use bargaining chip 3.Negotiate to win：essential skills 4.Hypnotic precise negotiation

1. Build up the value of time. 2. Trigger the intrinsic motivation toward time management. 3. Put into practice. 4. Build up self-management system.

1.Basic concept of GTM(Germany time management) 2.Advanced application of GTM(Germany time management)

1. Explore classification 2. Regression in machine learning 3. How to improve supervised models 4. Details on non-linear modeling 5. Recommender systems

1. Introduction to Machine Learning 2. Exploring Data 3. Data Preparation and Cleaning 4. Getting Started with Supervised Learning 5. Improving Model Performance 6. Machine Learning Algorithms 7. Unsupervised Learning

1. Introduction to deep learning and a quick recap of machine learning concepts. 2. Building a simple multi-class classification model using logistic regression 3. Detecting digits in hand-written digit image, starting by a simple end-to-end model, to a deep neural network 4. Improving the hand-written digit recognition with convolutional network 5. Building a model to forecast time data using a recurrent network 6.Building text data application using recurrent LSTM (long short term memory) units

1.Basic Framework of the Subconscious Communication. 2.Influence of the Charismatic Expression. 3.Presentation Skills for Goodwill Communications. 4.Eudaimonia of Positive Psychology.

1. Color and social style. 2. Color transition and communication mindset. 3. Color application in work specialty.

1. Four elements of interpersonal development 2. Interpersonal network and workplace communication 3. Communication skills 4. Conflict management

1. Define the problem. 2. Describe the bottleneck. 3. Analysis tools. 4. Problem-solving process.

1.Career management and exploration 2.Design personal career exploration report 3.Personal digital brand and management style 4.Write a team management manual depending on the talent traits of team members

1.Time management. 2.Management by objective. 3.Do the career plan.

1. Apply classical Image Analysis techniques, such as Edge Detection, Watershed and Distance Transformation as well as K-means Clustering to segment a basic dataset. 2. Implement classical Image Analysis algorithms using the OpenCV library. 3. Compare classical and Deep-Learning object classification techniques. 4. Apply Microsoft ResNet, a deep Convolutional Neural Network (CNN) to object classification using the Microsoft Cognitive Toolkit. 5.Apply Transfer Learning to augment ResNet18 for a Fully Convolutional Network (FCN) for Semantic Segmentation.

To enable students to understand the classification and strengthening mechanisms of high-strength aluminum alloys and their application in defense weapons. For example, the use of key components such as the bulletproof shell of the armored vehicle, the deck of the naval ship, and the skin of the air force fighter. Furthermore, it is aware of the key aluminum alloy technologies and future development trends of the current national defense weapon system.

1. Develop Azure Cognitive Services solutions 2. Create and intergrate bots 3. Create and implement IoT solutions