Top Ten Software Testing Training Institutions in China:
1, Bo for the peak.
2, Snail Academy.
3, lemon class.
4, Dark Horse Programmer.
5, Qianfeng education.
6, Kawasaki training.
7, Danai education.
8, knocking Dingwolf education.
9, Bullseye education.
10, test cow school.
Some of the institutions introduced:
1, Bo for the peak of IT education
Bo for the peak of IT education is a professional software testing training and software testing services platform belonging to the third board of the company was founded to date has been the training of 70,000 students graduated from domestic and foreign enterprises.
2, Danet Education
As a U.S. listed company, in the early days of the IT industry or to make a great contribution to the annual delivery of hundreds of thousands of IT talent into the community, indeed more powerful.
3, a thousand peaks of education
is also an offline organization is considered a medium to large-scale institutions, the annual training and graduation of the number of people can reach 10,000 +. The main training IOS/android and H5, but in recent years the demand for these specialties is not a lot so the transition in the big data.
Reference: Baidu Encyclopedia-Software Testing
Software Testing Training Institutions Which is Good
Software Testing Training Recommendations: NDT, TZP, Qianfeng Education, Geek Academy, Sinosoft International Education Group.
1, Peking University Youth Bird
Peking University Youth Bird was founded in 1999, seniority is deep, so far there have been nearly two decades of IT education and training experience. Peking University Youth Bird and Peking University close relationship, many practitioners are Peking University staff, so that the management system, the level of education is higher than other training institutions. The strength of Peking University Youth Bird is profound, with high visibility and dissemination, good reputation among students, and high employment rate of students.
The course subjects are many, including almost all kinds within the IT industry, and the development of each course is balanced. Strong faculty, the quality of the teaching team, the status of the industry, the high level of technology, and Beida Qingdao bird is still constantly improving and improving, is a good choice to learn IT technology.
2, Tranzionist
Tranzionist was founded in 2006, headquartered in Jiangsu, and in recent years has been opening branches, and so far has more than a dozen branches in Beijing, Shanghai, Shenzhen, Shenyang, Zhengzhou and other places. The teaching model used is rigorous, the quality of teaching is high, and the reputation is good. Students are assessed at the time of enrollment and graded according to their level of proficiency, and then taught in a hierarchical manner, in a novel and effective mode.
The main strengths of the program are: front-end, UI design and new media related projects. Currently in a period of comprehensive development, more suitable for people who want to learn these strong subjects.
3, Thousand Frontier Education
Founded in 2012, the development speed, the rise of momentum, quickly surpassed a number of veteran IT schools, ranked fourth. Chifeng Education is headquartered in Beijing and has branches in Shenzhen, Shanghai, Guangzhou, Wuhan, Dalian, Hangzhou, Chongqing, Nanjing and other places. Because it started as IOS, the strong program is in IOS.
The advantages are: large scale, sufficient funds, high investment in education, advanced equipment. But also because of the qualifications are still shallow, lack of experience, too fast development, the system is not mature enough, uneven development, there are some disadvantages. It should strive for comprehensive development and stable progress.
4, Geek Academy
Geek Academy was founded in 2013, is China's most authoritative Android development learning platform, the number of backup team and covers many of the industry's top elites. They are committed to developing a new high-efficiency, high-quality online programming teaching platform.
The strongest and most authoritative program is Android development, and at the same time both IOS, PHP and other courses. Students can choose the level of learning, there are three levels of online video teaching courses: basic, intermediate and advanced. Geek Academy focuses on speed of teaching and is committed to shortening the length of learning. However, because of the use of video teaching methods, speedy teaching goals, leading to the acceptance of the students and self-control.
5, China Soft International Education Group
Opening courses are: JAVIUI design VR technology, front-end development. Advantageous courses are is JAVI, front-end development. Neusoft International Education and Neusoft International Group to promote each other, *** with the development of the founding purpose is very clear: for enterprises to train, provide talent, can incidentally solve the employment problem, but the direction of publicity for the students of the commitment is more exaggerated, need to think carefully to identify, comprehensively is not the best choice.
What are the main application areas of artificial intelligence at present
The main application areas of artificial intelligence are: 1. Reinforcement learning field; 2. Generative model field; 3. Memory network field; 4. Data learning field; 5. Simulation of the environment field; 6. Medical technology field; 7. Educational field; 8. Logistics management field.
1. Reinforcement Learning Domain
Reinforcement learning is a method of learning through experimentation and error that is inspired by the human process of learning new skills. In a typical example of reinforcement learning, we ask participants to take an action and maximize the feedback results by observing the current situation. Each time you perform an action, the experimenter receives feedback from the environment, so it can determine whether the action has a positive or negative effect.
2. Generating Model Fields
Through the collection of a large number of samples, AI generates models with strong similarity. That is, if the training data is an image of a human face, the model obtained after training is also a synthetic image of a similar face.
Ian Goodfellow, a top AI expert, has proposed two new ideas for us: one is a generator, responsible for synthesizing new content from the input data; the other is a discriminator, responsible for determining whether the content generated by the generator is true or false. In this way, the generator must repeatedly learn the synthesized content until the discriminator is unable to recognize the authenticity of the generator's content.
3. Storing Network Fields
To adapt to various environments as humans do, AI systems must constantly acquire new skills and learn to apply them. Traditional neural networks have difficulty meeting these requirements. For example, after a neural network is trained for task A, if it is trained to solve task B, the network model is no longer suitable for A.
There are a number of network structures available that allow models with varying degrees of memory. Long- and short-term memory networks can process and predict time series; asymptotic neural networks learn horizontal relationships between independent models and extract ***same features that can accomplish new tasks.
4. The field of data learning
It has always been the case that deep learning models require large amounts of training data to achieve the best results. Without large-scale training data, deep learning models will not achieve the best results. For example, when we use AI systems to solve tasks that lack data, various problems arise. There is a method called transfer learning, which involves transferring a trained model to a new task so that the problem is easily solved.
5. The field of simulation environments
If AI systems are to be applied to real life, then AI must be characterized by applicability. Therefore, the development of digital environments that simulate the real physical world and behavior will provide us with the opportunity to test AI. Training in these simulated environments can help us to understand well the learning principles of AI systems and how to improve them, and also provide us with a model that can be applied to real environments.
6. Medical technology field
Currently, image algorithms and natural language processing technologies in the vertical field are basically able to meet the needs of the medical industry, and a lot of technology service providers have already appeared in the market, such as Suntech Cloudstar, which provides intelligent medical imaging technology; Zhiwei Xin Branch, which develops an artificial intelligence cell recognition medical diagnostic system; Ruoshui, which provides a platform of intelligent assisted diagnostic services; and Yixing, which provides a platform for statistical processing of medical data. medical treatment, and One World for statistical processing of medical data. Although intelligent medical care plays an important role in assisted diagnosis and treatment, disease prediction, medical image-assisted diagnosis, and drug development. Due to the lack of circulation of medical imaging data and electronic medical records between hospitals, the cooperation between enterprises and hospitals is not transparent, which creates a contradiction between technological development and data supply.
7. Education
Companies such as KDDI and School Education have begun to explore the application of AI in education. Through image recognition, it can be used to correct test papers, recognize questions, and answer questions by machines. Through voice recognition can correct and improve pronunciation; human-computer interaction can answer questions online.AI + education, can to a certain extent improve the distribution of teachers in the education industry as well as the cost of the problem, from the level of tools for teachers and students to provide a more efficient way of learning, but can not have a more substantial impact on the content of education.
8. Logistics management field
The logistics industry uses intelligent search, inference planning, computer vision, intelligent robots and other technologies to automate the process of distribution, loading and unloading, transportation, warehousing and other processes, which basically enables unmanned operations. For example, the use of big data for intelligent distribution planning of goods, optimizing logistics supply, demand matching, and allocation of logistics resources.
Software Testing Training School
The more reliable software testing training organization or choose the thousand feng education it, software testing training organization is not reliable also depends on the choice of the specific training organization. The software training organization has been focusing on providing customers with software testing employment training for more than ten years. The lecturers have rich practical experience, the curriculum is scientific, 0 basic suitable for learning, the teaching content covers a wide range, strong combat. The fine grading of teaching, tailored for customers to create teaching courses and progress. Thousands of education on the line free software testing open class.
Thousand front education adopts full face-to-face high quality, high experience training mode, subject outline closely follow the needs of the enterprise, has the domestic integrated teaching management and student services, in the development of vocational education on the road of continuous exploration forward. Chifeng now has a teaching and research team of 100 people and a teaching team of 300 people, and the lecturers are all from the first-line factories with both project combat and teaching experience, and the whole process of face-to-face teaching. Chifeng Education Group has established talent delivery cooperation with more than 4,000 domestic enterprises and practical training and employment cooperation with more than 500 universities, delivering tens of thousands of mobile development engineers to major enterprises every year, and hundreds of thousands of students benefited from the technical seminars, technical training courses, online open courses and free teaching videos organized by Chifeng Education.Chifeng Education Group was founded in 2011 in Beijing, adhering to the principle of "Beginner's Mind, Goodness, and Goodness". Founded in Beijing in 2011, Chifeng Education adheres to the core value of "the first heart to good craftsmanship", and takes face-to-face vocational software testing education and training as its foundation, and has so far laid out three major business sections, namely education and training, university services, and enterprise services.