“What we want is a machine that can learn from experience.”
Alan Turing, 1947
What was the dream of Alan Turing 70 years ago nowadays is becoming the truth. He spent a lot of time after the Second World War on devising the Turing Test. While this was a basic test, it involved assessing whether the AI was capable of having a realistic conversation with a person, thereby convincing them that they were also human.
Since Turing’s Test, AI was restricted to fundamental computer models. In 1955 a professor at MIT – John McCarthy formulated the term “artificial intelligence” and he built an AI laboratory there.
From then artificial intelligence is now a part of various everyday activities. While the evolution of it is still in its incubation phase, it has already been tagged as one of the most disruptive innovations of the century. From the self-driving cars to the Human-robot Sophia, AI has taken the entire globe by storm.
In simplest terms, artificial intelligence (AI) is a system or machine that imitates human intelligence in the performance of tasks and can gradually improve on the basis of information collected. The AI takes different forms. The central aim of research into artificial intelligence is to reconstruct people’s perception of and response to reality and then to go beyond their own limitations. Although AI is associated with functional, humanoid robots conquering the world, is not intended to replace humans. It is made to significantly increase human capabilities and effects.
Is AI difficult to learn?
If you love it you will enjoy learning it! But you have to spend enough time to grasp the concepts of AI. You need excellent problem-solving skills, be good at reasoning, planning, natural language understanding, and persistent at untangling technical and mathematical issues. You need to be creative and insightful and driven by the motivation to invent something useful for others. So to summarize it’s not difficult if you have the right approach. Finally, the right question is who will learn sooner: we will learn artificial intelligence or artificial intelligence will comprehend us?
Is it worth studying AI?
Studying artificial intelligence opens a new spectrum of opportunities for you. AI has developed as undoubtedly the most significant technological innovation in recent years across all industries. At a basic level, better understanding of the systems and tools that you interact with on a daily basis like smart houses, digital assistants, web searching and so on. Workwise AI gives you truly endless possibilities, looks great on your CV and can give you exiting career.
What is difference between artificial intelligence and machine learning?
Artificial Intelligence is the broader concept of machines being able to carry out tasks in a way that we would consider “smart”. Machine Learning is a current application of AI based around the idea that we should really just be able to give machines access to data and let them learn for themselves.
Non – Technical skills
- Industry knowledge
- Written and verbal communication skills
- Critical Thinking
- Creativity
- Problem-solving
- Analytical mind
- Foresight about technological innovations-
- Strong Problem-Solving Skills
- Logical Reasoning Skills
- Perseverance
- Planning
What Skills Do I Need to Get a Job in Artificial Intelligence?
Technical skills
- Understanding maths, including probability, statistics, algebra, calculus, logic and algorithms.
- Solid understanding of probability and models like Naive Bayes, Hidden Markov models, and Gaussian Mixture models is advisable.
- Knowledge of graphical modelling, including neural nets, vectors, matrices, matrix multiplication, and understanding of integrals and derivatives.
- Having great deal of knowledge of physics, engineering and robotics.
- Comprehending computer science, coding, programming languages like: R, Python, Java, C++, LISP and Prolog.
- Knowledge of Natural Language Processing (NLP)
- Knowledge ofArtificial intelligence (AI)
- Knowledge ofMachine learning (ML)
- Knowledge of Deep Learning (DL)
- Knowledge of Reinforcement Learning (RL)
- Understanding complex and complicated Neural Network Architectures
- Understanding computer vision, automatic programming, principles of Functional Programming and so on.
- Having the good knowledge of Data Science Essentials
- Skills to design, maintain and repair technology and software programs.
How do I start a career in artificial intelligence?
- Start by focusing on building your own models. Start small and then aim bigger. It’s better to complete 3 simple projects than to give up on 1 big.
- Then look for real jobs in those AI areas, and take note of what skills and degrees are specified in the job ads.
- Get a bachelor and Master Degree in robotics, vision, machine learning, planning, natural language, AI, Science or related fields.
- Learn as much as you can on AI, machine learning and deep learning
- Follow online courses (Berkeley’s course on EdX, Andrew Ng’s course on Coursera, Google’s course on Udacity etc.), and do the exercises.
- Write about your projects, how you did them, how you solved the issues you have faces, share your code.
- Build a portfolio of projects and case-studies, companies might look at your application, and see that you have already worked on what they want you to do if they hire you. Plus your code is accessible for them to evaluate your abilities.
- Start working on projects either independently, or take an internship somewhere or work in a group.
Are artificial intelligence jobs in demand?
Enormous amounts of money and resources are being poured into AI around the world. A 2019 report from Gartner indicated that enterprise applications for AI have grown 270% in four years, raising a level of demand that goes beyond the current supply of qualified job candidates. This is great news for professionals seeking jobs related to artificial intelligence.
Accenture research shows that the impact of AI technology on businesses is expected to increase productivity by up to 40 percent and could double the rate of economic growth by 2035, changing the nature of work and creating new relationships between man and machine.
Which industry uses AI the most?
Across the world the industries where the AI is used is endless. You’d be amazed to know that the demand for the jobs in AI hugely outstrips the current supply of the talent in the following sectors:
- Finance
- Healthcare
- Manufacturing
- Transportation
- Education
- Information Technology
- Business Intelligence
- Supply Chain management
- Construction
- Retail
- Cybersecurity
- And many more like: communication, sports, media, politics and government, banking and finance, aerospace.
How can I study Artificial Intelligence?
- To can get the basis you can start with online courses at Udemy, Coursera, Datacamp, EdX or Fast.ai
- The best online courses at Australian Universities: https://onlinestudyaustralia.com/courses/
- There are many great AI courses offered by almost all Australian universities. Some of the best are:
- Artificial Intelligence (Ai) course at RMIT University (Royal Melbourne Institute of Technology University)
- Artificial Intelligence (Ai) course at University of Adelaide
- The Australian Artificial Intelligence Institute (AAII) is a world leading research institute in artificial intelligence
Artificial Intelligence Degrees in Australia
Top Masters 2021
- Master of Science (Biological Science), Flinders University
- Master of Science (Biological and Chemical Science), Deakin University
- Master of Computing, The Australian National University
- Master of Computer Science (Machine Learning and Big Data), University of Wollongong
- Master of Software Engineering (Artificial Intelligence, Advanced), Billy Blue College of Design
- Master of Machine Learning and Computer Vision, The Australian National University
- Master of Information Technology (Artificial Intelligence),The University of Melbourne
- Master of Artificial Intelligence, La Trobe
- Master of Information Technology (Artificial Intelligence),The University of Melbourne
- Graduate Certificate of Artificial Intelligence, Deakin University
- Graduate Certificate of Artificial Intelligence for Business, Deakin University
- Graduate Certificate in Cyber Security,Australian Catholic University
- Master of Information Technology – Artificial Intelligence, The University of New South Wales
- Master of Applied Artificial Intelligence, Deakin University
- Master of Software Engineering (Artificial Intelligence Advanced),Torrens University Australia
- Master of Information Technology (Artificial Intelligence), The University of Melbourne
- Master of Information Technology and Systems, University of Canberra
- Master of Software Engineering (Artificial Intelligence Advanced), Torrens University
- Master of Machine Learning, University of Adelaide
Top Bachelor Degrees 2021
- Bachelor of Science – Genetics, The University of New England
- Bachelor of Biomedical Science,Bond University
- Bachelor of Science (Cell and Molecular Biology),University of Wollongong
- Bachelor of Biomedical Science – Medical/Health Professional
- The University of Newcastle
- Bachelor of Software Engineering ? Artificial Intelligence, Torrens University Australia
- Bachelor of Software Engineering (Artificial Intelligence) (Accelerated),Billy Blue College of Design
- Bachelor of Computer Science – Data Science and Artificial Intelligence, Griffith University
- Bachelor of Computer Science (Artificial Intelligence), Flinders University
- Bachelor of Artificial Intelligence, Deakin University
- Bachelor of Engineering (Honours)/Bachelor of Computer Science – Data Science and Artificial Intelligence, Griffith University
- Bachelor of Computer Science (Honours) – Artificial Intelligence, Flinders University
- Bachelor of Computer Science – Artificial Intelligence, Western Sydney University
- Bachelor of Computer Science Major of Machine Learning – University of Queensland
What does a career in artificial intelligence look like?
The requirements of building a career in AI are as innovative as the AI itself is! It is your passion, intuition and factors lying outside the formal education will be instrumental in shaping your career in the field. First, decide what forms of AI interest you, especially the ones that lead to jobs.
Examples of specific jobs held by AI professionals include:
- Software analysts and developers.
- Computer scientists and computer engineers.
- Algorithm specialists.
- Research scientists and engineering consultants.
- Mechanical engineers and maintenance technicians.
- Manufacturing and electrical engineers.
- Surgical technicians working with robotic tools.
- Medical health professionals working with artificial limbs, prosthetics, hearing aids and vision restoration devices.
- Military and aviation electricians working with flight simulators, drones and armaments.
- Graphic art designers, digital musicians, entertainment producers, textile manufacturers and architects.
- Post-secondary professors at technical and trade schools, vocational centers and universities.
What job I can get after artificial intelligence?
In order to fully exploit the value of artificial intelligence, many companies are investing heavily in data analysis teams. Data science is an interdisciplinary research field that uses scientific and other methods to extract value from data and combines qualifications in fields such as statistics and theoretical computing with business knowledge to analyse data collected from multiple sources.
5 Top Careers in Artificial Intelligence
- Data Analytics.
- User Experience.
- Natural Language Processing.
- Computer Science & Artificial Intelligence Research.
- Software Engineering.
AI Salaries in Australia
Working as an Artificial Intelligence and Machine Learning Specialist in Australia you can earn around A$111,000 per year. Salary ranges from A$56,400 (lowest) to A$170,000 (highest). This is the average annual salary that includes accommodation, transport and other benefits. Artificial Intelligence and Machine Learning Specialist salaries vary drastically depending on experience, skills, gender, or location.