Looking to validate your current AI experience or develop your skills to become an AI developer? ACTE trains and validates the necessary skills to develop in AI. ACTE training program is designed for current or aspiring data professionals entering the field of artificial intelligence will enable you to become a capable practitioner in a wide variety of AI related job functions. ACTE Imparts Artificial Intelligence Class Room & Online Training Course Enroll Now!!!
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.
What is Artificial Intelligence?
Artificial Intelligence, AI is any artificial software that can react like human so it has ability to learn, plan, recognize and understand speech and solve problems. So, we can tell AI is a smart machine that can perform intellectual processes characteristic for humans, such as the ability to reason, discover meaning, to solve a problem, to learn or to plan.
TYPES OF ARTIFICIAL INTELLIGENCE
There are four types of artificial intelligence: reactive machines, limited memory, theory of mind and self-awareness.
1) Reactive Machines
Reactive machines are the oldest and most simple form of AI. They have no memory and can’t use past experience. They are used to respond automatically to a limited combination of inputs. One of the best examples is Deep Blue.
2) Limited Memory Machines
Limited memory machines, unlike reactive machines, have the ability to learn from past experiences. Most of the applications that we use today come under this category. One of the most attractive existing forms of limited memory is self-driving cars.
3) Theory of Mind
Theory of mind and self-awareness are types of AI yet to be developed. Best is to call them ‘’work in progress’’. Theory of mind would be developing software that can detect and understand human emotions, thoughts, and behavior-driven from it.
4) Self-aware AI
Self-aware AI is a type of AI that would include not only understanding human emotions, thoughts and behavior but also developing a machine that would have its own thoughts, emotions and desires.
Top Technologies used in Artificial Intelligence
- Natural Language Generation - AI converts the data into a readable form allow the system to interact ideas with perfect accuracy. It is widely used in customer services to generate reports and pull market data.
- Decision Management - Intelligent machines are designed to frame new rules and logic to AI systems for setting up, prolonged maintenance and optimum tuning and make you run a profitable organization.
- Speech Recognition - Siri is the best example of speech recognition which understands and interacts with the voice response of human language by mobile apps.
- AI Optimized Hardware - The new graphics and processing unit are designed and developed to perform Artificial Intelligent oriented tasks.
- Biometrics - This technology is used to identify and analyze the human attributes and physical features of a body’s shape and form.
- Peer to Peer Networks - When multiple systems are connected and share resources without the data going through the server computer. It is also used in cryptocurrencies.
- Emotion Recognition - The technology permits the software to “scan” the sentiments on a human face using high-level image processing or audio processing. now at the point where you can catch “micro-expressions,” or complex body language ideas, and vocal accent that reveals a person’s feelings.
- Image Recognition - Image recognition is the method of recognizing and distinguishing an object or trait in a digital image or video, and AI is frequently being piled on top of this technology to great effect.
- Marketing Automation - Marketing automation enables companies to increase engagement and improve performance to grow income faster. It uses software to automate client segmentation, data integration, and campaign management, and streamlines repeated tasks, providing vital minds to get back to doing what they do best.
- Content Writing - Artificial intelligence helps in content writing such as articles, blogs, reports by suggesting possible words that suit well for sentences and also provide spell correction and grammatical mistakes to their online world.