There is a significant need for individuals with expertise in artificial intelligence. Voice recognition, image processing, management of business processes, and even medical diagnosis all have almost unlimited potential to be improved and simplified by artificial intelligence. If you are technically inclined and have some experience with a programming language, you may want to learn more about the lucrative field of artificial intelligence (AI) and how to become a certified artificial intelligence engineer in 2023.
Who is an Artificial Intelligence Engineer?
Are you curious about what it takes to become an artificial intelligence engineer? Or maybe you’re currently studying to become one? Either way, we’ve got the information you need to know right here.
To become an AI engineer, you will require a degree in computer science or a related field. Also, many AI engineers have extra training in machine learning, natural language processing, or data engineering. After you finish your education and tests, you’ll be ready to start working as an AI engineer. Depending on the job you want, the training and experience you need might be a little different. Most AI engineers, on the other hand, work in groups of two or three to make software that can automate tasks or understand what people say. Not to mention, in 2030, AI is projected to increase global GDP by 15.7 trillion dollars.
Skills Needed to Become an AI Engineer
If you’re interested in becoming an AI engineer, you’ll need to possess a strong theoretical knowledge of basics AI engineering skills. Having mastered the fundamentals of AI, you must shift your attention to developing your technical expertise. Job postings in the field of artificial intelligence often seek candidates with the following skills:
- Machine Learning and Artificial Intelligence
- Natural Language Processing
- Neural Networks
- Robotics
- Autonomous Driving
- Visual Image Recognition
- Programming languages like Python, Java, Scala, and TypeScript
- Data Science
- Data Engineering
- Statistics and Probability
- Exploratory Data Analysis
- Soft skills are just as important as the technical skills listed above if you want to succeed in your chosen field. The following set of non-technical skills can assist you in building professional contacts and widening your network:
- Emotional Intelligence
- Problem-Solving
- Decision Making
- Critical thinking
- Communication Skills
- Creativity
- Leadership Skills
How to Become a Certified Artificial Intelligence Engineer?
The Certified AI Engineer (CAIE) credential is being provided by the world-renowned AI certifications provider, the United States Artificial Intelligence Institute (USAII).
If you are a student and you are in the final year of your graduation or undergrad qualification and are interested to make your career in Artificial Intelligence, then CAIE certification is the right program for you.
Eligibility Criteria to earn CAIE
- Path 01: Minimum qualification with an associate degree or a diploma in any discipline and a minimum work experience of 2 years.
- Path 02: Minimum qualification with a bachelor’s degree or pursuing a bachelor’s qualification and no work experience required.
If you qualify for the eligibility criteria, you must apply for the program on their website. After enrolling in the program, you will receive your study kit with eBooks, videos, workshops, and practice codes. The course curriculum and the program content are vetted and verified by the world’s finest subject matter experts (SMEs) from the industry.
The program curriculum includes topics such as – Big Data and AI, White Box XAI for Bias and Ethics, Chatbots Graph and Graph Databases, Essential Machine Learning, Deep Learning, DQN, DDPG, TD3, Computer Vision, GAN, NLP, Reinforcement Learning, and more.
AI-Proctored Examination
The CAIE program is for a duration of 25 weeks, however, because of the self-paced learning, you can complete the certification well within 25 weeks as well. Once you are through with your study kit, you can self-schedule your examination anytime, anywhere.
You can then take your CAIE examination on the scheduled date and time. The exam duration is of 100 minutes with a passing percentage of 70 percent. The result will be showcased immediately after the examination; however, the detailed result will be published within 3 working days.
Once you clear the examination, you will be awarded the most powerful starter-level AI credential.
The demand for skilled artificial intelligence engineers is 74% more than before, which means there are plenty of career opportunities available for those who are qualified. As long as you have the prerequisites listed above and are able to demonstrate proficiency in key technologies such as machine learning or natural language processing algorithms, there’s no limit to what type of role or position you can pursue in this field.
The Salary of an AI Engineer
One thing to keep in mind when pursuing an AI engineer certification is that salaries can vary significantly based on experience and skill set. However, according to research, salaries range between $62k and $132k per year, with the average pay being around $87k per year. So, whether you’re just starting out or have several years of experience under your belt, there’s likely a position waiting for you in artificial intelligence engineering.
Build a Future-Ready AI Engineer Portfolio NOW!
If you’re keen on joining the workforce, you need to become a certified artificial intelligence engineer. AI engineering is a growing and exciting field that has massive benefits for both you and your career. If you’re ready to take on this challenge, start studying the basics today and develop your AI engineering skills by working on real-world projects. You can become a successful artificial intelligence engineer in no time with dedication and determination. Gear up to take the AI world head-on with the most sought-after AI engineer credentials today with USAII.
The post A Complete Career Guide to Becoming an Artificial Intelligence Engineer in 2023 appeared first on Datafloq.
