How To Start A Career In Artificial Intelligence?
Introduction
Will a career in artificial intelligence be as rewarding as other computer-related fields? Definitely! With the usage of AI in online learning platforms, there has been an increase in AI-related jobs too. Training in AI helps you get a highly paid career and a reputable position.
AI has taken over a major part of our lives as chatbots and virtual assistants, answering our questions around the clock. Similarly, working with AI requires specific skills and qualifications to help employees meet the daily, growing demands.
According to the Bureau of Labour Statistics, there is a chance for 21% job changes to AI by 2031. This means that organizations need aspirants with background knowledge in artificial intelligence to take over the job market. Keep reading to know what to remember before taking up such jobs.
Steps To Start A Career In Artificial Intelligence
Getting a career in AI means the right and timely usage of skills, time, and dedication. Here are a few steps to start a career in artificial intelligence:
1. Invest Time For Initial Research
Before choosing any job, it is ideal to know the scope of it by researching the same. It is best to talk to professionals in the field and maintain a professional network to join the best organization, get the best packages, and get noticed.
This helps in staying prepared for a career change or shift without having much of a gap in the career journey. Building a strong network of professionals could help in making the career and work experience better.
2. Make Sure To Have Strong Background Knowledge
Having a background knowledge in AI or computer science increases the chances of getting noticed among candidates and qualifies them for artificial intelligence jobs. This can be acquired by getting an associate degree, a masters or a bachelor degree in the related field.
Another way is to do online certification programs and attend seminars or webinars to gather more knowledge. Having a strong base in mathematics, data science, engineering, IT, or statistics would be great.
However, it is also possible to find artificial intelligence jobs without background knowledge by attending online courses and equivalent boot camps. Online and bootcamp certifications are proof of deep learning which helps students get placed in the most reputed organizations.
3. Improve The Existing Skills
To start a career in artificial intelligence, it is not only important to have subject knowledge, but at the same time, it is important to upgrade it regularly. For this students can attend online courses and webinars that offer them a practical experience which makes them experienced in the subject.
These skills highlighted on the aspirant’s resume help the organization hire the candidate easily. As a result, it ensures them the best placement with the best companies.
4. Look For The Best Choices
With the help of AI, you can always find the best firms, websites, or organizations to start your career with. These days there are online communities, job portals, and course providers that help you with the best options with the package you desire. Also, finding such jobs is less time-consuming and gives more accurate results.
5. Stay Prepared With A Portfolio
Not just for artificial intelligence jobs, no matter what jobs an aspirant is looking for, they must be ready with a well-prepared resume and a portfolio to share. The portfolio should reflect on how effectively he/ she used the AI skills. This would in turn create a positive impression on the hiring manager’s mind and help the aspirant get a job easily.
6. Get As Many Online Certifications As Possible
Online certifications are one way of staying updated with the latest technologies in an occupation. If you’re looking for an occupation in artificial intelligence look for the best places to gather online certifications. These certifications act as proof that an aspirant is experienced in the skills that the company is expecting.
Some of the best online certification courses in AI are :
| Name of Course | Topics | Duration | Benefits |
|---|---|---|---|
| IBM AI professional certificate | ✶ Deep learning ✶ machine learning ✶ neural networking, ✶ Python ✶ AI skills. | 6 months. 4 hours per week | ✶ Practical knowledge ✶ Understand fundamentals ✶ Work with AI tools and chatbots ✶ Improve problem-solving skills |
| Machine Learning and AI with Python by Havard | ✶ Data set creation. ✶ Recognize data thefts and piracy ✶ Enhance problem solving skills ✶ Creating Python experience | Self paced | ✶ Explore AI basics ✶ Hypothesis and decision making ✶ Helps differentiate data sets ✶ Evaluate machine’s data extraction abilities |
| Artificial Intelligence Certification Process by Artificial Intelligence Board of America (ARTiBA) | ✶ Learn AI and ML techniques ✶ Understand application and development techniques | 2 months, 10 hours a week | ✶ Readiness to join the new technology ✶ Improves problem-solving skills ✶ Faster career growth ✶ Gaining new knowledge on the topics |
| IBM AI Engineering Professional Certificate | ✶ AI and ML classifications ✶ Neural networking ✶ Creating algorithms ✶ Generating deep learning models | 2 months, 10 hours a week | ✶ Image decoding ✶ Subject knowledge ✶ Portfolio creation |
| Artificial Intelligence (AIE) by the Artificial Intelligence Board of America | ✶ AI and ML problem-solving ✶ Find more advanced academic concepts of AI ✶ Organizing abilities with AI concepts at work ✶ Overcoming upcoming issues | 180 days | ✶ Increased adaptability ✶ Quick ways of the job change ✶ Interaction with advanced technology ✶ Understanding the science |
How To Gain Experience In AI If You Don’t Have Any?
Unlike other fields, having prior experience to find a career in artificial intelligence is unnecessary. Firstly, The candidate must be interested in the field and follow some basic guidelines. Here are some simple tips to gain experience in AI:
AI And Machine Learning Specializations
Here are a few of the best AI and Machine Learning specializations to go for which are high in demand:
☛ Supervised learning: Helps with data extraction, and classification from different data models.
☛ Unsupervised learning: Deals with learning about clustered and non-specific data models.
☛ Reinforcement learning: Learning in close relation to AI techniques on a trial and error basis.
☛ Natural Language Processing: Teaches techniques for humans to enable machines to evaluate bulk data and make decisions based on visual data.
☛ Deep learning: Is the kind of learning that uses neural networks to learn more through AI using image processing and speech recognition.
☛ Computer vision: Is the process of enabling computers to make decisions based on the visual data available.
☛ Robotics: Using AI for easy completion of tasks and activities in different fields.
☛ Ethics in AI: Understanding how well AI technologies ensure accurate informations.
☛ AI in healthcare: The role of artificial intelligence in healthcare helps with ensuring right medication and management
☛ AI in finance: With the help of AI in finance, there will be less financial loss and risks.
Technical Skills Required For AI Careers
Apart from some of the basic skills, a candidate is expected to have some technical skills too before choosing artificial intelligence jobs. Here are a few of them:
✶ Knowledge of basic programming languages like Java, Python, and C++.
✶ Understanding about different data structures and algorithms.
✶ Awareness of the use of different software tools to extract and modify the data.
✶ Frameworks and data structures used in the field.
✶ Ability to write codes and test their accuracy.
Types Of Jobs In Artificial Intelligence
Here are some of the different types of artificial intelligence jobs:
| Job Title | Description |
|---|---|
| Research scientist | ✶ Job description: Looks into the latest data models and applications and shares them with the team on need basis. ✶ The median salary for a research scientist is $130,474. |
| Machine learning Engineer | ✶ Job description: Designs and combines data learning model sets for organizations. ✶ The average salary of a machine learning engineer is $165,000. |
| Data Scientist | ✶ Job description: Analyses and creates different data models and communicates it with the team. ✶ A data scientist earns $158,647 per year |
| AI engineer | ✶ Job description: Works on AI projects, adds AI applications to products. ✶ An AI engineer earns $201,712 annually. |
| Computer Scientist | ✶ Job description: Focuses on problem solving, data modelling and collaboration. ✶ A computer scientist earns as high as $188,383 on an annual basis. |
| Job Title | Description |
|---|---|
| AI product manager | ✶ Job description: Explains the purpose and ways to use the AI oriented application. ✶ The annual compensation of this profile comes upto $203,000. |
| Feature gathering | ✶ Job description: Does research about the AI features. ✶ A feature gatherer earns $830,00 per year. |
| UI/UX designer | ✶ Job description: Is one of the artificial intelligence jobs that focuses on the design and concept of the app. ✶ A UI/UX developer gets paid as high as $119,828 on a yearly basis. |
| Mobile app development | ✶ Job description: Is one of the most rewarding AI careers when it comes to creating user-friendly mobile interfaces. ✶ The average annual compensation for a mobile app developer is $109,965. |
| Job Title | Description |
|---|---|
| Data Scientist | ✶ Job description: Looks into data collection and analysis based on the new trends. ✶ A data scientist earns $158,647 on a yearly basis. |
| Machine Learning Engineer | ✶ Job description: Design, develop and distributes AI designs. ✶ The average annual salary of an ML engineer is $165,100. |
| Robotics Engineer | ✶ Job description: Works, integrates and deploys robots to specific fields like schools, hospitals and other organizations for their work efficiency. ✶ An AI robotics engineer earns $127,000 annually. |
| Job Title | Description |
|---|---|
| AI ethicist | ✶ Job description: Looks into the different policies and rules of AI and develops them. ✶ Median salary of an AI ethicist is $86,000 |
| AI Ethics researcher | ✶ Job description: Ensures the adherence of AI policies in the organization. ✶ An ethics researcher earns upto $143,184 annually. |
| AI Policy Analyst | ✶ Job description: This is one of the AI careers where the employee looks into and manages the AI policies and makes needful changes. ✶ The average annual income of an AI is policy analyst is $261,000. |
| AI Governance Analys | ✶ Job description: Checks AI policies which can be used for Governance and modifies them accordingly. ✶ An AI Governance analyst earns $137,000. |
| Job Title | Description |
|---|---|
| AI Educational Specialist | ✶ Job description: Is one of the ai careers that train users on the ethical use of AI. ✶ An AI educational specialist earns $135,841. |
| AI trainer | ✶ Job description: Finetunes and trains users about different data models and AI processes. ✶ The average annual payscale of this profession is $84,000. |
| AI course developer | ✶ Job description: Develops the course overview about AI lessons and learning. ✶ The median salary of an AI course developer is $129,348. |
| AI Power Learning Platform Developer | ✶ Job description: This is one of the careers in artificial intelligence that implement learning management systems in different fields. ✶ An AI power learning platform developer earns $157,000. |
| Learning Experience Developer | ✶ Job description: Looks into ways of customizing AI learnings to people in different fields. ✶ The annual payscale of a learning experience developer is approximately $61,500. |
| Job Title | Description |
|---|---|
| AI hardware engineer | ✶ Job description: Looks into the technical drawbacks of the platform and improves it. ✶ The average annual earnings of an AI hardware engineer is $106,000. |
| AI hardware architect | ✶ Job description: Creates framework and designs for AI platforms. ✶ The average annual payscale of an AI hardware architect is $91,000. |
| AI hardware test engineer | ✶ Job description: Tests and rectifies AI hardwares and builds on the scope for improvement. ✶ A hardware engineer earns $304,000 annually. |
✶ Job description: Integrates AI and thermal devices to manage their heating and cooling power capacities.
✶The average annual payscale of a thermal power engineer is $120,027 .
Future Scope Of Artificial Intelligence
A career in artificial intelligence has a lot of scope for growth and development in the long run. Here’s what the future of AI would look like in different sectors:
Healthcare
☛ With the introduction of AI in healthcare, medical evaluation and diagnosis would be speedier.
☛ AI may help predict patients’ condition, treatment, and recovery.
☛ Healthcare organizations can save on staff with robots and AI mechanisms attending to patients.
Education
☛ Encourage students to learn at their comfortable times and places.
☛ Creates a comfortable virtual atmosphere for students through virtual learning
☛ Teach the teachers about artificial intelligence jobs and share the curriculum and growth possibilities.
☛ Introduces the faculty to automated tools, making student evaluation easy.
Finance
☛ Reduces financial fraudulence from happening.
☛ Helps in identifying fake transactions.
☛ Suggest ways of improving returns with fewer investments.
☛ Easy evaluation of profiles and credit scores of investors through advanced algorithms.
Retail markets
☛ Helps in quick and easy customer behavior recognition.
☛ Suggest ways to improve customer satisfaction.
☛ Predict demand and supply increase and decrease.
☛ customer count, check-ins, and check-outs.
Transportation
☛ Immediate navigation, passenger pick-up, and drop-off services.
☛ Reduce congestion and accidents.
☛ Predictions on maintenance and fuel efficiency are one of the key roles of career in artificial intelligence.
☛ Provide new ways of passenger safety.
Entertainment
☛ Entertainment career in Artificial intelligence provide engagement and growth.
☛ Music, documentaries, and video making with AI technology offer more remuneration.
☛ AI tools help in idea generation for all contents- audio, visual, and audio-visual.
☛ Analyze the reach of each type of content regularly.
Environment
☛ Artificial intelligence jobs can help with energy saving and optimization.
☛ Track climate changes, and natural disasters, and keep the public aware
☛ Help in finding the best ways of using energy effectively.
☛ Enhance interaction, communication, and conservation of the environment.
The Role of Former Education In Your AI Careers
Former education has a small, yet important role in shaping a career in artificial intelligence. However, what is more important than having a background in AI is the aspirant’s interest and passion to work in this field. While it is not important to know everything about AI before joining a job, here are some tips that can help:
✶ Have an educational background in computer science.
✶ Do some extra online courses in data mining, natural language processing, and machine learning.
✶ Have a good understanding of programming languages like Python and Node JS. Also, get to know how they’re used in artificial intelligence jobs.
✶ Read about AI and stay up-to-date through blogs, newsletters, and videos.
✶ Participate in online certified training to improve domain knowledge.
✶ Invest the needful hours in the course and practice your skills. This will help you master it.
