Artificial Intelligence Course in Tirupur

Artificial Intelligence finds applications beyond automation, particularly in various fields such as science, agriculture, cybersecurity, autonomous vehicles, gaming, entertainment, education, and medicine. Upon completing our AI Courses in Tirupur, students can embark on their careers in the following roles:

• Data Architect
• AI Engineer
• Machine Learning Engineer
• Natural Language Processing Engineer
• Robotics Engineer
• Data Scientist
• Computer Vision Engineer

“Students will receive 100% placement support.”

Leading companies employing Artificial Intelligence specialists include Amazon, IBM, NVIDIA, Accenture, Microsoft, Samsung, Intel, Facebook, Lenovo, Apple, Adobe, Oracle, MoTek Technologies, Uber, Wells Fargo, Rakuten Marketing, PCO Innovation, Flipkart, HCL, Cognizant, Google, Infosys, TCS, and various other renowned firms.

AI Engineer Salary For Freshers ranges from Rs. 6,00,000 to Rs. 8,00,000 annually. With increased education and experience, an AI engineer could earn between Rs. 10,00,000 and Rs. 18,00,000 annually. Internationally, AI engineers might earn around $165,000 annually, per the salary reports from PayScale.com.

FITA Academy offers premier AI Courses in Tirupur. Graduates effortlessly secure lucrative positions at the prestigious companies mentioned. Don’t miss out on this opportunity—enrol in FITA Academy today.

AI Engineer

Artificial Intelligence (AI) specialists employ diverse machine learning and AI methodologies to create systems and applications that offer numerous benefits to businesses, including cost reduction and enhanced productivity. Organisations heavily reliant on Artificial Intelligence in their daily operations require AI engineers to drive their initiatives forward. AI engineers assist businesses in decision-making processes by leveraging insights from ML and AI algorithms. Enrolling in FITA Academy’s AI Classes in Tirupur can be highly advantageous if you aspire to become an AI engineer.

Data Architect

A crucial role within any organisation is that of a Data Architect tasked with constructing the data pipeline. As the demand for data rises, individuals must possess expertise in data management and architecture design. To pursue a career as a Data Architect, completing an Artificial Intelligence Course in Tirupur is essential, providing comprehensive instruction on crafting and overseeing data architectures.

Data Scientist

Data Scientists leverage extensive datasets and advanced analytical methods to develop innovative solutions benefiting their organisations. They possess computer science, statistics, programming, and business analysis expertise, among other domains.

Having a Data Scientist onboard aids companies in making informed decisions through the analysis of vast data volumes. They tackle various challenges, including prediction, recommendation, and classification, across diverse organisational settings, employing statistical, Artificial Intelligence, and machine learning techniques.

Opting for FITA Academy’s Artificial Intelligence Course in Tirupur is the optimal choice for aspiring data scientists. This program ensures the acquisition of the essential skills to kickstart a career in Data Science and provides exceptional guidance and instruction.

Machine Learning Engineer

In organisations, machine learning engineers (MLEs) are entrusted with developing and testing machine learning solutions. While they commonly hold engineering or computer science degrees, their expertise may extend to areas such as software development or data analysis. As there is an increasing demand for AI and machine learning, there are abundant opportunities for career progression in this field. Upon completing AI Training in Tiruppur, Machine Learning Engineers can engage in projects necessitating a comprehensive understanding of the machine learning algorithms employed in AI applications.

Robotics Engineer

Robotics engineers possess the skill set required to design, develop, and maintain robotic systems. Many are employed in the aerospace, medical, and manufacturing sectors. Their primary objective is to design and build robots capable of undertaking tasks deemed too hazardous, labour-intensive, or complex for humans.

AI plays a crucial role in robotics. Using machine learning and edge computing techniques, robotics engineers can now develop robots capable of observing and emulating human behaviour while conducting real-time analysis on vast datasets. This enables them to enhance operational speed and efficiency.

Natural Language Processing Engineer

Engineers specialising in Natural Language Processing (NLP) primarily focus on developing tools and systems capable of comprehending human languages. Their tasks encompass designing and developing language understanding systems, including Natural Language Generation, Artificial Intelligence (AI) Speech Recognition, Speech Pattern Analysis, and Comprehension. Additionally, NLP engineers script codes to process and analyse textual data, emphasising the accuracy of language comprehension.

Proficiency in Machine Learning frameworks and a comprehensive grasp of Statistical methods are prerequisites for this role. Along with these competencies, NLP Engineers must demonstrate proficiency in programming, particularly in languages like Python, Java, or R. FITA Academy diligently provides the premier Artificial Intelligence Course in Tirupur, equipping graduates with the skills required for various positions in the AI sector, including that of an NLP Engineer.

Computer Vision Engineer

Computer Vision Engineers are responsible for processing visual data using Machine Learning and Mathematical Algorithms. They engage with diverse visual information sources, including digital signals, video feeds, and computer-digitised analogue images.

Computer Vision Engineers aim to enable computers to perceive and interpret visual data visually. They accomplish this objective by devising and deploying sophisticated models and algorithms to extract valuable insights from input images and videos. They play a crucial role in various applications, including Augmented Reality, Medical Image Analysis, Autonomous Cars, and Facial Recognition Systems.