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Online Artificial Intelligence (AI) Course & Training

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About the service

This Artificial Intelligence training program is engineered for those who seek to bridge the gap between conceptual understanding and industrial application. Spanning 130 hours of intensive learning, the curriculum is structured to accommodate both seasoned working professionals looking to pivot and ambitious freshers aiming to enter the technology sector.

The program offers an end-to-end immersion into the AI ecosystem, moving from the foundational mathematical frameworks to the deployment of sophisticated generative models. By integrating instructor-led theoretical modules with hands-on laboratory sessions and real-world capstone projects, the course ensures that every participant graduates with a portfolio that reflects professional-grade competence.


1. Comprehensive Curriculum and Technical Stack

The syllabus is designed to provide a mastery of the most relevant tools and libraries currently driving the digital economy.

  1. Foundational Programming and Data Science: Gain proficiency in Python, the primary language of AI, and its essential libraries such as NumPy for numerical computation and data manipulation.

  2. Deep Learning Frameworks: Develop and deploy neural networks using industry-standard frameworks including TensorFlow, Keras, and PyTorch.

  3. Computer Vision: Learn to process and analyze visual data through OpenCV, enabling applications in facial recognition, autonomous systems, and image processing.

  4. Generative AI and Large Language Models (LLMs): Explore the cutting edge of AI with tools like ChatGPT, Google Bard (Gemini), and DALL·E 2, understanding how to leverage prompt engineering and model fine-tuning.


2. Prestigious Partnership: IIT Madras Pravartak

In a strategic collaboration with IIT Madras Pravartak, ExcelR offers an exclusive Advanced Certification in Data Science and AI for Digital Transformation. This add-on program elevates your credentials by connecting you with one of India's premier technical institutions.

  1. Academic Excellence: Access 15+ hours of interactive live-virtual sessions delivered directly by the esteemed professors of IIT Madras.

  2. Campus Immersion: Participants have the optional opportunity for a two-day residency at the state-of-the-art IIT Madras campus in Chennai, offering a firsthand look at world-class research and innovation hubs.

  3. Institutional Certification: Upon completion, you will be awarded the prestigious IITM Pravartak Certificate, a mark of distinction recognized across the global technology industry.


3. The Certification Pathway

The process is designed to be seamless, rigorous, and rewarding, ensuring that your certification carries significant weight in the professional market.

  1. Instructional Phase: Engage in the 130-hour core AI training while simultaneously attending the specialized sessions led by IIT Madras faculty.

  2. Practical Application: Complete the integrated labs and capstone projects to demonstrate your ability to solve complex, real-world problems.

  3. Campus Experience (Optional): Visit the IIT Madras campus to network with peers and faculty during the scheduled immersion slot.

  4. Assessment and Graduation: Post-training, you will complete a focused quiz based on the IIT Madras sessions. Successful completion unlocks your Advanced Certification in Data Science and AI for Digital Transformation.


4. Professional Outcomes and Value Proposition

This program is not merely a training course; it is a career transformation engine.

  1. End-to-End Skill Mastery: Transition from understanding AI basics to implementing full-scale digital transformation projects.

  2. Dual-Brand Recognition: Benefit from the combined expertise of ExcelR’s practical training and IIT Madras’s academic prestige.

  3. Portfolio Development: The capstone projects serve as a tangible demonstration of your skills to prospective employers and stakeholders.

The future of technology is being written in AI. Take your place in that future by enrolling in our next cohort.

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