About Artificial Intelligence Online Training Course in Hong Kong
ACTE's Artificial Intelligence Course is designed to lay strong foundation of AI basics and build on skills aligned to current industry requirements, to get you ready for AI career. This course covers popular Deep Learning algorithms: Convolutional Networks, BatchNorm, RNNS etc., with the case studies from autonomous driving, healthcare, Natural language processing etc.,
Benefits
Artificial Intelligence (AI) entered main stream and revolutionizing the way we do the business. AI is increasingly being adapted in automating many jobs with much high productivity, lower cost and scalable solutions. It is reported by PWC in publication that about 50% human jobs will be taken away by AI in next 5 years. There is already a big demand for AI specialists and this demand will be exponentially growing in coming years.
Yes, In recent years, careers in artificial intelligence (AI) have grown exponentially to meet the demands of digitally transformed industries. While there are plenty of jobs in artificial intelligence, there’s a significant shortage of top tech talent with the necessary skills.
Top 5 Careers in Artificial Intelligence
- Machine Learning Engineer
- Data Scientist
- Business Intelligence Developer
- Research Scientist
- Big Data Engineer/Architect
AI has become the cutting-edge technology in today's technological world with more and more companies adopting it every single day.ACTE AI training helps you get on the AI bandwagon and apply for the highest paid and best suitable jobs in the market.The average salary of an experienced AI professional is $246,500 per year.
yes,As Artificial Intelligence is on the rise and there is an exponential growth in demand for AI professionals and also there is a scope in developing the machines in game playing, speech recognition machine, language detection machine, computer vision, expert systems, robotics and many more.you can expect a high salary in artificial intelligence jobs.According to the job site Indeed, the demand for AI skills has more than doubled over the past three years, and the number of job postings is up by 119 percent.
We are happy and proud to say that we have strong relationship with over 700+ small, mid-sized and MNCs. Many of these companies have openings for Artificial Intelligence Architect.Moreover, we have a very active placement cell that provides 100% placement assistance to our students. The cell also contributes by training students in mock interviews and discussions even after the course completion.
The applications of Artificial Intelligence vary from autonomous cars to translation, from chatbots to image recognition. Digital assistants like Siri and Alexa are typical examples of AI applications, and with recent increased efficiencies in AI, we should see more AI applications in the future.
The AI course is an advanced course and hence the following knowledge would be useful:
- Machine learning knowledge is compulsory.
- Fundamental Python programming skills are needed.
No.But you don’t have to be a software engineer either. Solid basic programming skills are a must. But advanced notions like object-oriented programming and software engineering aren’t needed. And many of those going into AI have a math background, so they’re actually better at some computer science notions than programmers, such as analysis of algorithms.
Our course-ware is designed to give a hands-on approach to the students in Artificial Intelligence. The course is made up of theoretical classes that teach the basics of each module followed by high-intensity practical sessions reflecting the current challenges and needs of the industry that will demand the student's time and commitment.
Absolutely! Although, you will need to have some well-developed engineering skills and a good command of advanced mathematics or you will struggle mightily through your learning experience. These skills will get the conversation going with potential employers, most of which have pre-machine learning needs.
Artificial Intelligence continues to advance and improve the quality of life across multiple industry settings.Candidates can find training programs that offer specific majors in AI or pursue an AI specialization from within majors such as computer science, health informatics, graphic design, information technology or engineering. As a result, those with the skills to translate digital bits of information into meaningful human experiences will be skillful in artificial intelligence to be sustaining and rewarding.
Artificial Intelligence enters our lives in many different ways.The understanding of artificial intelligence(AI) opens lots of opportunities. As you learn more about artificial intelligence, you get a chance to become a developer who will create advanced AI applications like IBM’s Watson or self-driving cars. There are endless possibilities in this field. Studying artificial intelligence is necessary for a career in software engineering, in case you want to work with human-machine interfaces, neural networks, and quantum artificial intelligence. Industries like Amazon and Facebook use artificial intelligence to make shopping list recommendations and to analyze big data.The understanding of artificial intelligence is also necessary for hardware engineers who create home assistants and parking assistants.
Right from healthcare sectors to financial, BFSI to e-commerce, FMGC and so on, every single vertical is keen to devour the AI-powered opportunities to yield significant benefits.
ADVANCED ARTIFICIAL INTELLIGENCE
In Artificial Intelligence training course you learn Python, Principles of Machine Learning, Deep learning fundamentals with Keras, Deep learning fundamentals with Pytorch, Reinforcement Learning, Speech Recognition Systems, Natural Language Processing, Neural Network, Azure Machine Learning, Chatbot and Tensorflow.
What is Artificial Intelligence
By now, we are quite sure you would have understood the roles and responsibilities of data scientists.Machine Learning (ML) scientists build methods for predicting product suggestions and product demand and explore Big Data to automatically extract patterns. Machine learning and Artificial intelligence are integral parts of data science, where techniques from both such as regression, predictive analytics and more are applied. If you are an AI aspirant, you might want to consider more about becoming a machine learning engineer.
Why you should choose a career in Artificial Intelligence?
- AI is the latest buzzword in Tech. All the major enterprises will make use of AI in the future to improve their productivity. Tech giants like Apple, Google and Facebook have already climbed on the bandwagon of AI. So what are you waiting for? Both Data Science and Machine Learning are generating more jobs making these two areas the fastest growing tech employment areas today.
- According to the latest industry estimates, an AI professional with an experience of 2-4 years can earn annually ₹ 15-₹ 20 lakhs ($20.6-27.5K). Experienced professionals with 4-8 years can expect up to ₹ 20-₹ 50 lakhs ($20.6-68.8K).
- The demand for AI certified professionals will grow along with the developments in AI. Getting trained in AI will give you an edge over other IT professionals as AI is the future of IT.
Artificial intelligence market for hardware to grow at a high CAGR during forecast period
- The AI market for hardware is expected to grow at a high CAGR during the forecast period. This can be attributed to the increasing need for hardware platforms with high computing power to run various AI software. The presence of major companies that contribute to the AI sector in North America has made the region a major market for hardware related to AI.
- By technology, the artificial intelligence market for computer vision holds the largest share of the market
- Machine learning’s ability to collect and handle big data, and its applications in real-time speech translation, autonomous robots, and facial analysis are fueling its growth. The growing adoption of computer vision in autonomous or semiautonomous applications in various industries, such as manufacturing and automotive, is propelling the growth of this technology in the AI market.
By geography, the market in Asia Pacific (APAC) is expected to gain highest growth
- The artificial intelligence market in APAC includes China, Japan, South Korea, India, and Rest of APAC. Rest of APAC includes countries such as Singapore, Malaysia, Thailand, Australia, and New Zealand. China, Japan, Australia, and India are among the major countries driving the AI market in APAC. The increasing adoption of deep learning and NLP technologies in finance, agriculture, marketing, and law applications is also driving the market in this region.
- Growing e-commerce, online streaming, and increasing internet penetration have resulted in the growth of marketing industries. Marketers are now looking for more sophisticated and state-of-the-art marketing solutions for large and ever-growing consumer base.
- This has resulted in the adoption of AI-enabled solutions for marketing. In security, with increasing incidents of cyberattacks and a growing cyber-war in the region, organizations and governments are focusing on robust defense infrastructure. APAC, especially China, Japan, and South Korea, is considered the largest market for industrial robots. Industrial robots generate a huge volume of data, which is used for training robots.
- This would act as one of the major drivers for the artificial intelligence market in APAC.
Opportunity:Improving operational efficiency in manufacturing industry
- AI-based predictive analytics can be used to minimize outages and improve plant utilization by anticipating demand and taking appropriate steps to match production with demand. AI-based algorithm helps in reducing the scrap rate to streamline supplies and maintain optimum inventory. AI-based inventory management eventually establishes a new pricing strategy for manufacturers.
- The global manufacturers have multiple plants in different parts of the world. An AI-enabled manufacturing plant can connect all these locations strategically, and if there is a production or demand fluctuation in 1 plant, the operations can be shifted to other facilities as needed by using an AI-based production planning application and routing algorithm. artificial intelligence market production planning can be used for supply optimization, preventive maintenance, and aftermarket cost reduction.
- Therefore, to meet these requirements, manufacturers are expected to adopt AI-based technologies in their manufacturing plants, propelling the growth of the AI in manufacturing market.
Challenge:Concerns regarding data privacy
- The main factor that is predicted to be a challenge for AI adoption among businesses is data privacy. AI market technologies process data and generate outputs. Machine learning, deep learning, NLP, facial recognition, and emotion detection technologies feed on the stored data and provide actionable results.
- These technologies churn out useful data from enormous volumes of data and help businesses make critical decisions. Customers fear about their personal data being collected and used by AI; this data may include information such as their location and spending habits.
- To safeguard this information is a challenge for enterprises. Many nations follow privacy regulations to protect their citizens’ privacy and avoid any misuse.
- To maintain public trust and the ethical use of data by AI, many organizations, along with the governments of various nations, are working toward creating a robust AI-based framework
Show More
