If change is the only constant, it was never more true than in the case of technology. What was trending a few months ago is suddenly obsolete as newer versions are released in quick succession to feed our tech-savvy generation. Keeping abreast of the dynamic demands of the market is key when it comes to software training. SLA Jobs in Chennai has always been a prominent name in this business. With more than two decades of experience under their belt and illustrious alumni, they have added many a feather to their cap. Continuing with the legacy, they have added some of the latest trending technologies in the IT market like Robotic Process Automation (RPA), Data Science and Machine learning to their list of courses. They are discussed below:

RPA (Robotic Process Automation):
RPA (Robotic Process Automation) is considered to be a significant technological evolution in the sense that new software platforms are emerging which are sufficiently mature, resilient, scalable and reliable to make this approach viable for use in large enterprises. A Global Markets Insights Inc. predicts that the RPA market to reach $5 billion by 2024. With automation taking over most of our daily chores and now the invention of the first ever human robot, Sophia, RPA is indeed a breakthrough for programmers and robotics nerds.
RPA relies heavily on artificial intelligence and machine learning to mimic human activities, saving precious time that can be utilized for jobs that require strategic thinking and creativity. SLA Jobs is one of the few IT training institutes in Chennai offering this course. The RPA training course is replete with a sufficient focus on major tools like Blue Prism and Automation Anywhere which drives this software, and of course, a good sprinkling of real-time industry-related projects and case studies.
Data science :
Data science has heralded an age of technological revolution. The amount of data being generated in any enterprise today is staggering and organizations are struggling to keep up with the influx. Data science is a multidisciplinary platform of data inference, algorithm development, and employing technology to solve analytically complex problems. A Data science training is designed to elevate you to a level of skill that will enable you to use this data in creative ways to reveal trends or patterns that enable you to take strategic decisions and add value to your business.
At SLA Jobs, the focus is what data represents and how it can be turned into a valuable resource in the creation of business strategies. Mining large amounts of structured and unstructured data to identify patterns can help an organization rein in costs, increase efficiencies, recognize new market opportunities and increase the organization's competitive advantage.
At SLA Jobs, the focus is what data represents and how it can be turned into a valuable resource in the creation of business strategies. Mining large amounts of structured and unstructured data to identify patterns can help an organization rein in costs, increase efficiencies, recognize new market opportunities and increase the organization's competitive advantage.
Because Data science is a combination of business acumen, mathematics expertise, and software skills, attention is devoted to each of these subjects. The training involves an astute observation of data to reveal patterns and correlations that can be expressed mathematically and solutions to many business problems lie in building analytic models using mathematical expertise. The need to code is ineluctable and core languages associated with data science include SQL, Python, R, and SAS, all of which form an integral part of the syllabus. And lastly, there needs to be clear alignment between data science projects and business goals. Ultimately, the course is a comprehensive blend of all of the above to build valuable capabilities and have strong business influence.
Machine learning:
An offshoot of artificial intelligence, Machine learning is the new buzzword in the IT circuit. It is based on the idea that systems can learn from data, identify patterns and make decisions with minimal human intervention. It was a product of the theory that computers can learn without being programmed to perform specific tasks. The iterative aspect of machine learning is important because as models are exposed to new data, they should be able to adapt without human interference.
At its core lies the objective of enabling them to learn from previous computations to produce reliable results. While many machine learning algorithms have been around for a long time, the ability to automatically apply complex mathematical calculations to big data is a fresh development that requires special mention. At SLA Jobs the focus is on the core components required to create a stable and dynamic machine learning system, namely:-
At its core lies the objective of enabling them to learn from previous computations to produce reliable results. While many machine learning algorithms have been around for a long time, the ability to automatically apply complex mathematical calculations to big data is a fresh development that requires special mention. At SLA Jobs the focus is on the core components required to create a stable and dynamic machine learning system, namely:-
- Algorithms – basic and advanced.
- Automation and iterative processes.
- Scalability.
- Ensemble modeling.
By working on algorithms to build models that uncover connections, SLA Jobs is empowering its students to create a business environment that makes better decisions without human intervention. This technology is predicted to rule the IT world for a long time.
Learn All these Technologies from the expert at SLA and become an IT Professional. For more details Call us on +91 86087 00340.
Learn All these Technologies from the expert at SLA and become an IT Professional. For more details Call us on +91 86087 00340.