Modern trends in technology influence more than just our current jobs. It influences the way society is moving, especially when it comes to choosing the future of your current job. There are a number of ways you can prepare for future. One surest way to do it is by upgrading your skills and doing Deep Learning Certification. Data literacy and storytelling are the most sought-after skills that the industry is looking it. With growing demand for data analysts, and Data Scientists, the time is ripe for professionals to get Deep Learning Certification to ensure there is never a lull of career opportunities in their lives.
Here are five impactful technology areas that have been endorsed to recruit professionals with upgraded Deep Learning Certification.
Applied AI in Geographical Information System
A Geographic Information System (GIS) is a powerful cog in the contemporary data science ecosystem that requires deep understanding of how spatial data and location data works. From autonomous vehicles to satellite mobility, GIS is part of almost every operation. Applied AI, machine learning and Deep Science come together in a GIS, providing accurate, timely predictive analytics into weather data, and sensor performance. Pattern recognition in Mobility is another area where GIS is used extensively, furthering innovations in data recognition and Object-based image analysis – major factors in upgrading mobile apps and autonomous vehicles.
Data Scientists mastering Machine Storytelling and AI through Deep Learning Certification courses can interact better with the most-promising developments in the GIS industry.
Big Data and Cloud Computing
The programming languages continue to showcase their importance in every algorithm used to automate operations. From Marketing and Sales to Retail Construction, Big Data and Cloud Computing run everything machines do. Big Data and Cloud Computing expertise require verified knowledge of new-age coding languages, especially Python. Deep Learning Certification covers aspects of coding and programming in driving Big Data and Cloud Computing, opening new avenues into data base warehousing, AI architecture, and more.
Big companies like IBM, Oracle, SAP, Amazon, Salesforce, and HP are looking for talents in Big Data and Cloud Computing sectors who also have a Deep Learning Certification from a valid institution.
Deep Learning in Manufacturing
In the Fourth Industrial Revolution, most professionals would be dealing with the concept of ‘Smart Manufacturing’. Smart manufacturing technologies are driven by deep learning science, powered by Industrial IoT (IIoT) processors and cloud infrastructure.
According to most recent statistics on the impact of Deep learning on Smart Manufacturing, the global market is staring at an influx of $320 billion as investments by 2020. The number of robots that could be installed at manufacturing units could see a substantial growth—2.6 million, to be precision. This growth is invariably need talent trained in Deep Learning certification for robotics, Industrial IoT and automation data modeling.
“Global manufacturing companies including SIEMENS, GE, Intel, BOSCH, NVIDIA and Microsoft are heavily invested into deep learning and machine learning-level technologies.”
Excelling with Deep Learning certification is quintessential upgrade for professionals who wish to make that leap into new horizons of IIoT, fiber optics, image recognition and automation, robotics and manufacturing intelligence.
Military Intelligence: Drones, Submarines and Rocket Science
Yes, that’s right! Military is the biggest investor in the deep learning and AI projects, and things are not going to change for the next 20-25 years. With most developed countries always keeping their military intelligence on a war-footing, it’s a gold mine for AI lovers to get Deep Learning Certification.
Military applications extensively used in making their intelligence more powerful include,
- Robotic Army
- Night-Time Image Processing
- Underwater Ammunition
- Self-Driven Tanks and Submarines
- Non-trackable mobile Communications
There are many more applications that only experts in deep learning could elaborate. You can become that expert today…
Academia and AI Research Labs
Institutionalization of Applied Deep Learning AI projects is an evergreen avenue. Data Scientists, research analysts, data mining experts, image verification programmers and Python developers are getting impressive career calls from leading research institutions and technology innovation labs, including Baidu AI, Google AI, Amazon, IBM Watson, Microsoft, NVIDIA, Harvard, UC Berekely, Stanford, MIT, and so on. With most projects taking off in Americas and China, Deep Learning Certification courses also update their curriculum according to the geographies.
A regular professor at academia could be making more dollars per hour teaching Deep Learning and Applied AI courses compared to full-time employee at Microsoft. Not speculating, it’s a fact.
Also, most cutting-edge innovations are hatching at Deep Learning research labs and challenges. Be a part of that research lab with a valuable Deep Learning certification. Other areas of expertise that deploy resources from deep learning are health care, mining and metallurgy, space and aeronautics, sports analytics, and political strategy teams. Options are endless; time limited.