YOUR SUCCESS GUIDE TO EARNING AN AI ENGINEER QUALIFICATION

This year has started with an astonishing development of incredibly charged and targeted AI technologies on display. there is no sector that has been barred from the extraordinary advancements in the way industrial processes are set out.

Artificial Intelligence has not remained the thing of the future. it can be experienced on an everyday basis. Corporate or household, internal or global- AI has impacted every location pan geographies. Believing LinkedIn’s recent reports, the Artificial Intelligence sector is expected to contribute to adding over USD 50 Trillion to the world economy by the year 2050.

Another report from Statista predicts nearly USD 100 Billion growth in the AI market by 2030. For Artificial Intelligence Engineers, there is an expected growth rate of 21% over the forecast decade period ending 2031. These reports cannot be denied as they are expected to accelerate the way we envision our day-to-day processes in the years to come. Let us understand the pathway to an AI engineer’s career.

Understanding Artificial Intelligence

Artificial Intelligence is the way we make inanimate machines behave like humans. This clearly makes the processes and daily workings convenient. Not just that, industries impacted due to the AI revolution have expanded beyond technology, seeping into healthcare, production, eCommerce, automation, etc.

About Artificial Intelligence Engineers

Microsoft elaborates Artificial Intelligence Engineers as professionals responsible for developing, programming, and training the complex networks of algorithms that make up AI so that they can function like humans. The role calls for an urgent upgrade with the passing of time.

Pathway to Become an AI Engineer

• Educational Background

Starting with the basics requires an AI aspirant to complete their bachelor’s in STEM subjects or equivalent. thereafter, it requires one to possess a master’s or a Ph.D. in Artificial Intelligence; depending upon different recruiters.

• Technical Knowledge

AI experts are required to be specially trained in deploying Machine Learning algorithms, NLP, and core programming languages including Python, R, Scala, Java, and other related technologies. 

• Non-technical skills

Dealing with technologies also requires an AI engineer to collaborate, communicate, and collaborate with different teams working on projects. This allows enough room to master soft skills to stay longer in the industry.

• Other capabilities

A certified Artificial Intelligence Engineer is expected to be curious and proactive; while keeping the zeal high for a continuous learner role. Along with these requirements, you may earn heavily with a credible AI Engineer certification from a trusted name in the industry.

Top 10 AI Engineer Skills to Master

1. Programming
2. Mathematics
3. Machine learning
4. Data processing
5. Computer vision
6. Natural language processing
7. Deep learning
8. Problem-solving
9. Communication
10. Collaboration

Roles and responsibilities

Post gaining AI Engineers skills, it is time to understand and honour the roles and responsibilities one has up their sleeves.

• Converting ML models into the application program interfaces (APIs)
• Designing and developing AI-based systems
• Building AI Models from Scratch
• Data collection and preparation
• Testing and evaluating AI systems
• Building data ingestion and data transformation infrastructure
• Automating infrastructure
• Performing statistical analysis
• Fine-tuning results to make better-informed decisions

Career Path and Promising Industries to Work

Manufacturing, Aviation, Telecommunication, Transportation, Digital marketing, Health and wellness, Real estate, and many others are some of the industries that are hugely impacted by Artificial Intelligence. Deriving a career path in these realms is made a cakewalk with credible Artificial Intelligence Engineer certifications; paving the way toward a thriving success rate.

Salary Expectations

Quoting ZipRecruiter for the month of May 2023, the recorded annual salary for an expert AI Engineer was recorded as USD 201,500. This sets the bar high for every pedestal as you keep upskilling your core skillsets. The USA is one of the top countries for machine learning engineers because of its large number of companies that specialise in machine learning, artificial intelligence, robotics, and other advanced technologies.

Conclusion

A certified Artificial Intelligence Engineer is a good fit role for you if you are keen on building it big in the industry worldwide. There is no restraint when talking of remuneration if you are aptly skilled and possess the requisite expertise. Power your educational degrees with certifications to level up your game in the world of Artificial Intelligence Engineering today!