Foisys | Future Programs

AI is intellectually challenging

Artificial Intelligence is not just about high-paying jobs and significant market demand. It's also an intellectually stimulating field that promises to challenge you in exciting ways. It involves building algorithms to solve complex problems, designing models that simulate human intelligence, and creatively applying these technologies to various real-world scenarios. AI professionals continuously learn, adapt, and innovate. The field is constantly evolving, meaning there's always something new to learn, a problem to solve, or a system to improve. This dynamic nature makes AI an exciting field for those who thrive on challenges and continuous learning.

What skills do I need to become a AI developer?

Before mastering any of the skills of an Artificial Intelligence (AI) Engineer, you must understand the ecosystem of AI. Today, AI is used in different areas such as robotics, image processing, computer vision, chatbots, natural language processing, gesture control, speech recognition, and more. Each of these domains requires specific AI platforms or components.

In all business areas and industries, stakeholders and managers are constantly debating over the benefits of AI. Usually, the possibilities with AI seem to be endless. Thus, ‘now’ is the best time to learn AI.

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Future Courses

Artificial Intelligence

Artificial intelligence (AI) is the ability of a computer or a robot controlled by a computer to do tasks that are usually done by humans because they require human intelligence and discernment.

Learning outcomes

Design user interfaces to improve human–AI interaction and real-time decision-making.
Evaluate the advantages, disadvantages, challenges, and ramifications of human–AI augmentation.
Design and develop symbiotic human–AI systems that balance the information processing power of computational systems with human intelligence and decision making.
Explain the benefits, limitations, and tradeoffs of designing engaging and ethical conversational user interactions, including those supported by chatbots, smart speakers, and other AI-driven, voice-based technologies.

Duration

6 months

Location

Nagercoil, Bangalore

Future Courses

Machine Learning

Machine learning is a branch of artificial intelligence (AI) and computer science which focuses on the use of data and algorithms to imitate the way that humans learn, gradually improving its accuracy.

Learning outcomes

Have a good understanding of the fundamental issues and challenges of machine learning: data, model selection, model complexity, etc.
Have an understanding of the strengths and weaknesses of many popular machine learning approaches.
Appreciate the underlying mathematical relationships within and across Machine Learning algorithms and the paradigms of supervised and un-supervised learning.
Be able to design and implement various machine learning algorithms in a range of real-world applications.

Duration

6 months

Location

Nagercoil, Bangalore

Future Courses

Robotics

Robotics is the intersection of science, engineering and technology that produces machines, called robots, that replicate or substitute for human actions.

Learning outcomes

Understand basic components of robotics, classification of robots and their applications.
Know on types of robot grippers, their usage and design considerations.
Understand about various types of sensory devices their working and applications.
Apply basic transformations related to the movement of manipulator
Design a robot mechanism to meet kinematics requirements and to write simple programs.

Duration

6 months

Location

Nagercoil, Bangalore