Demand for AI and Machine Learning Talent in India: A Comprehensive Review

India’s technology sector has witnessed a remarkable surge in the demand for Artificial Intelligence (AI) and Machine Learning (ML) talent over the past year. According to a recent report by the National Association of Software and Service Companies (NASSCOM) in collaboration with Boston Consulting Group (BCG), AI engineering roles have grown by an impressive 67 percent year-over-year. This explosive growth, driven by emerging technologies, a highly skilled workforce, and strong government incentives, positions India as a leading hub for developing cutting-edge scientific capabilities in AI. Recognizing this burgeoning demand, educational institutions like Great Learning have integrated modules related to Generative AI into their programs. This article explores the top AI and Machine Learning resources that can help professionals build expertise in Generative AI and stay ahead in this rapidly evolving domain.

Great Learning’s AI and Machine Learning Programs

1. Generative AI for Business with Microsoft Azure OpenAI
   Program Overview:

Duration: 16 weeks
Mode: Online
Collaboration: Microsoft Azure OpenAI and Great Learning
Certification: Joint certificate from Microsoft Azure and Great Learning
Focus Areas: Generative AI, prompt engineering, Azure, OpenAI, industry-relevant tools, and hands-on projects.
Curriculum and Learning Outcomes:

This comprehensive program blends theoretical and practical learning, focusing on Generative AI and prompt engineering, both with and without code. The curriculum is structured into four modules, covering essential topics such as Azure, OpenAI, and various industry-relevant tools. Guided by experienced industry mentors and supported by a dedicated Program Manager, learners are prepared for the AI-900 Certification Exam. By completing this program, professionals gain the skills to leverage Generative AI for various applications, from content generation to effective prompt creation, ready to thrive in AI and data-driven roles.

Strengths:

Comprehensive Curriculum: Covers all aspects of Generative AI and prompt engineering.
Industry-Relevant Projects: Hands-on projects ensure practical learning.
Certification: Joint certificate from Microsoft Azure and Great Learning adds value to the learner’s profile.
Areas for Improvement:

Pace: The 16-week duration may be intense for some learners.
Pre-requisites: Basic knowledge of AI and ML may be beneficial before starting the program.

2. No Code AI and Machine Learning: Building Data Science Solutions
   Program Overview:

Duration: 12 weeks
Mode: Online
Collaboration: MIT Professional Education and Great Learning
Certification: Certificate from MIT Professional Education
Focus Areas: AI and ML techniques, no-code tools like RapidMiner, Ikigai, and Teachable Machine.
Curriculum and Learning Outcomes:

This program is designed to enable professionals from both non-technical and technical backgrounds to build intelligent, AI-driven solutions using no-code tools. The curriculum includes fundamental AI concepts, machine learning algorithms, and practical applications using no-code tools, ensuring a flexible, self-paced learning experience. Learners gain access to live mentorship from industry experts and build a portfolio by working on industry-relevant projects and real-world case studies.

Strengths:

Accessibility: Suitable for non-technical professionals.
Practical Focus: Emphasis on real-world applications and projects.
Prestigious Certification: Certificate from MIT Professional Education enhances credibility.
Areas for Improvement:

Depth: May not cover advanced AI and ML topics in depth.
Tools Limitation: Reliance on no-code tools may limit exposure to coding-based approaches.

3. Artificial Intelligence and Machine Learning – University of Texas at Austin
   Program Overview:

Duration: 7 months
Mode: Online
Collaboration: University of Texas at Austin and Great Learning
Certification: Certificate of completion from the University of Texas at Austin
Focus Areas: Python Foundations, Machine Learning, AI, and Deep Learning.
Curriculum and Learning Outcomes:

This program offers a comprehensive understanding of AI and ML, covering Python foundations, machine learning, AI, and deep learning. Designed by the faculty at UT Austin McCombs School of Business, the curriculum includes hands-on projects, case studies, and personalized coding assistance. Participants receive dedicated career support and access to a robust alumni network, enhancing practical knowledge and problem-solving abilities.

Strengths:

Comprehensive Coverage: Extensive curriculum covering key AI and ML topics.
Practical Experience: Hands-on projects and case studies enhance learning.
Career Support: Personalized career support and alumni network access.
Areas for Improvement:

Time Commitment: The 7-month duration requires a significant time investment.
Advanced Topics: May require prior knowledge in programming and basic AI concepts.

4. Post Graduate Program in AI and Machine Learning – Great Learning
   Program Overview:

Duration: 12 months
Mode: Online
Collaboration: University of Texas at Austin and Great Lakes Executive Learning
Certification: Dual certificate from UT Austin McCombs School of Business and Great Lakes
Focus Areas: Python, NLP, Deep Learning, Machine Learning, Computer Vision, and Neural Networks.
Curriculum and Learning Outcomes:

Developed with insights from industry experts, esteemed academicians, and successful alumni, this program covers the latest AI and ML technologies. The curriculum emphasizes practical application through hands-on projects, enabling participants to build a GitHub profile that stands out to potential employers. Students benefit from mentorship, access to cutting-edge tools, and comprehensive career support.

Strengths:

In-Depth Learning: Extensive coverage of advanced AI and ML topics.
Practical Application: Emphasis on hands-on projects and real-world case studies.
Dual Certification: Enhances the learner’s credentials and career prospects.
Areas for Improvement:

Intensive: The 12-month duration is demanding.
Cost: May be higher compared to shorter programs.

Building skills in Generative AI through specialized programs can open up a world of opportunities in the tech industry. The programs offered by Great Learning, in collaboration with prestigious institutions like Microsoft Azure, MIT Professional Education, and the University of Texas at Austin, provide comprehensive learning experiences tailored to various professional needs and backgrounds. These programs offer a blend of theoretical knowledge, practical application, and industry-relevant projects, ensuring that learners are well-prepared to thrive in AI and data-driven roles.

When selecting a program, professionals should consider factors such as curriculum depth, delivery mode, accreditation, and practical learning opportunities. The right program will align with their career goals and provide the necessary skills to excel in promising and disruptive technologies like AI. As the demand for AI and ML talent continues to grow, acquiring specialized skills through comprehensive educational programs is crucial to staying ahead in this rapidly evolving domain