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PGPM in Ai Machine Learning Analytics And Block Chain at Great Lakes Institute of Management
Chengalpattu, Tamil Nadu
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About the Specialization
What is AI, Machine Learning, Analytics, and Block Chain at Great Lakes Institute of Management Chengalpattu?
This AI, Machine Learning, Analytics, and Block Chain program at Great Lakes Institute of Management, Chennai, focuses on equipping future business leaders with advanced analytical and technological skills. It addresses the growing demand for professionals who can leverage data, AI, and emerging technologies like blockchain to drive strategic business outcomes in the dynamic Indian industry landscape, ensuring graduates are at the forefront of innovation.
Who Should Apply?
This program is ideal for experienced professionals seeking to transition into data-driven roles, mid-career managers aiming to upskill in AI and analytics, and ambitious individuals with a foundational understanding of business and technology eager to specialize. It caters to those looking to lead digital transformation initiatives across various sectors in India, bringing a blend of technical acumen and strategic thinking.
Why Choose This Course?
Graduates of this program can expect to secure roles such as Data Scientists, AI/ML Engineers, Business Analysts, Blockchain Consultants, and Analytics Managers in India. Entry-level salaries typically range from INR 8-15 LPA, with experienced professionals commanding INR 20-40+ LPA. The program fosters career growth in high-demand areas, aligning with industry certifications and preparing individuals for leadership in technology-driven enterprises.
Student Success Practices
Foundation Stage
Master Core Analytical Tools and Concepts- (Trimester 1-2)
Dedicate time to thoroughly understand foundational statistics, business analytics, and IT for managers. Utilize online courses like Coursera or NPTEL for supplemental learning in Python/R basics and Excel proficiency. Engage in peer study groups to clarify complex concepts and practice problem-solving exercises regularly.
Tools & Resources
Coursera (Data Science, Python courses), NPTEL lectures, Microsoft Excel, Peer Study Groups
Career Connection
A strong analytical foundation is crucial for excelling in advanced AI/ML courses and is a primary requirement for entry-level analytics and data science roles.
Build a Strong Business Acumen- (Trimester 1-2)
Beyond technical skills, focus on understanding management principles, economics, and marketing. Read business newspapers like The Economic Times or Business Standard daily. Actively participate in case study discussions and guest lectures to connect technical solutions with real-world business problems and strategic decision-making.
Tools & Resources
Business newspapers, Harvard Business Review cases, Industry webinars
Career Connection
Combining technical skills with business acumen makes graduates effective business leaders, capable of translating data insights into actionable strategies for Indian companies.
Engage in Academic Competitions and Clubs- (Trimester 1-2)
Join relevant student clubs focused on analytics or technology. Participate in inter-college case competitions or hackathons related to data analysis and AI challenges. These experiences enhance problem-solving, teamwork, and provide practical application of learned concepts, which are highly valued by recruiters.
Tools & Resources
College analytics clubs, Kaggle competitions, Inter-college hackathons
Career Connection
Participation demonstrates initiative and practical skill application, enhancing resume value and networking opportunities with industry professionals in India.
Intermediate Stage
Deep Dive into Specialization Electives and Tools- (Trimester 3-4)
Carefully select electives in AI, Machine Learning, and Blockchain to align with career goals. Dedicate extra effort to hands-on projects using tools like Python (TensorFlow, PyTorch, Scikit-learn), R, and big data platforms. Seek out advanced tutorials and build a portfolio of individual projects to showcase specialized skills.
Tools & Resources
Python (TensorFlow, PyTorch), R, Jupyter Notebooks, Google Colab, GitHub
Career Connection
Specialized proficiency in these tools and concepts is essential for roles like ML Engineer, Data Scientist, and Blockchain Developer in the Indian tech market.
Seek Industry Internships and Live Projects- (Trimester 3-4)
Actively pursue internships or live projects with companies, particularly those in the analytics, AI, or fintech sectors in India. Apply classroom knowledge to real business problems, gain exposure to corporate work culture, and build a professional network. Prioritize projects that allow you to work with large datasets or implement ML models.
Tools & Resources
Internship portals, College placement cell, Networking events
Career Connection
Practical industry experience is a major differentiator in placements, offering direct exposure to potential employers and validating your skills for full-time roles.
Network Extensively with Alumni and Experts- (Trimester 3-4)
Attend industry conferences, workshops, and alumni meetups. Connect with professionals working in AI, Machine Learning, Analytics, and Blockchain through LinkedIn. Seek mentorship, gain insights into industry trends, and explore potential career opportunities in the vibrant Indian tech ecosystem.
Tools & Resources
LinkedIn, Industry events (e.g., Data Science Summit), Alumni Network
Career Connection
Networking opens doors to hidden job opportunities, valuable career advice, and establishes connections that can aid in long-term professional growth and placements.
Advanced Stage
Undertake a Capstone Project with Real-world Impact- (Trimester 5)
Collaborate on a significant capstone project, ideally with an industry partner, applying comprehensive knowledge in AI, ML, or Blockchain to solve a complex business challenge. Focus on delivering tangible, measurable results and effectively communicating your methodology and findings. This project should be the centerpiece of your professional portfolio.
Tools & Resources
Industry collaboration, Advanced ML/DL libraries, Cloud platforms (AWS, Azure, GCP)
Career Connection
A strong capstone project demonstrates your ability to lead and execute complex analytical initiatives, making you highly attractive to top recruiters for senior and specialized roles.
Master Interview Preparation and Soft Skills- (Trimester 5)
Practice technical interview questions, particularly in data structures, algorithms, SQL, and machine learning concepts. Develop strong presentation, negotiation, and leadership skills. Participate in mock interviews and group discussions organized by the career services team to refine your communication and interpersonal abilities.
Tools & Resources
LeetCode, HackerRank, Mock interview platforms, Great Lakes Career Services
Career Connection
Exceptional technical and soft skills are critical for converting interview opportunities into successful placements in competitive Indian job markets.
Stay Updated with Emerging Technologies and Certifications- (Trimester 5 and beyond)
Continuously monitor advancements in AI, ML, and Blockchain through industry reports, research papers, and online courses. Consider pursuing relevant professional certifications from platforms like AWS, Google Cloud, or IBM, which can significantly enhance your resume and demonstrate a commitment to lifelong learning in a rapidly evolving field.
Tools & Resources
Industry journals, Online certification platforms (Coursera, edX), Tech blogs
Career Connection
Staying current ensures long-term career relevance and opens doors to niche opportunities and leadership positions in cutting-edge technology domains across India.
