Artificial Intelligence (AI) & Machine Learning (ML) Course
PGDM in Artificial Intelligence (AI) & Machine Learning (ML)
Our Top Business Management College offers the Postgraduate Diploma in Management (PGDM) Course in India with specialisations in the Artificial Intelligence (AI) & Machine Learning (ML) Management Program. This comprehensive Master's program equips you with cutting-edge knowledge of global business operations. It provides hands-on experience from industry experts, ensuring you are well-prepared to excel in today's dynamic marketplace.
- Last Update : Feb 10, 2025
- English
- students
Admissions 2025-27
Artificial Intelligence (AI) & Machine Learning (ML) Program Key Highlights
- Foundations of AI & ML: The course covers core concepts in AI and machine learning, including supervised and unsupervised learning, neural networks, deep learning, and reinforcement learning. It provides a solid foundation for understanding how these technologies work.
- AI/ML Strategy & Implementation: Focuses on how organizations can develop, implement, and scale AI/ML solutions. It teaches how to align AI/ML initiatives with business objectives and drive strategic decisions through data-driven insights.
- AI Ethics & Governance: Discusses ethical considerations in AI and ML, including fairness, transparency, bias mitigation, privacy, and regulatory compliance. It provides tools for managing AI models responsibly and ensuring accountability.
- Innovation & Emerging Trends: Explores cutting-edge advancements in AI/ML, such as generative models, natural language processing (NLP), and autonomous systems. It prepares participants to stay ahead of industry trends and identify new business opportunities.
- Risk Management & Mitigation: Focuses on identifying and managing risks in AI/ML projects, such as model drift, data quality issues, and algorithmic bias. Teaches risk assessment frameworks and strategies for mitigating potential problems.
- AI for Business Innovation: Demonstrates how AI/ML can drive innovation in various industries, from healthcare to finance to manufacturing. It highlights practical applications and case studies of AI/ML driving business transformation.
IIBS Finishing School & Value Added Certification
PGDM along with 10 Certification Courses by IIM Bangalore, 12 from Harvard Business School, and 45 Value Added Courses and Certification from other Corporate Houses and IIBS Finishing School
Artificial Intelligence (AI) & Machine Learning (ML) Course content
Course Duration sections • Year lectures • 00 h 00 m total length
-
Semester 1
-
Semester 2
-
Semester 3
-
Semester 4
-
Semester 5
-
Semester 6
Career Assistance
A career in AI and ML Management helps professionals transition into leadership roles within the AI and machine learning sectors. It offers tailored coaching on building management skills, understanding technical trends, and navigating the complexities of AI projects. With expert guidance, individuals are prepared to lead teams, drive innovation, and shape the future of AI and ML organizations.
Client-1
Client-1
Client-1
Client-1
Client-1
Client-1
Client-1
Client-1
Client-1
Client-1
3000 +
Recruitment Partners
Our Faculties
Frequently Asked Questions
AI/ML is used to enhance decision-making, optimize operations, improve customer insights, and drive innovation in business practices, preparing students for future leadership roles in technology-driven industries.
AI/ML can be integrated by offering specialized courses, hands-on workshops, industry collaborations, and case studies that focus on how AI/ML can solve real business challenges.
Students should develop skills in data analysis, problem-solving, project management, basic AI/ML understanding, and ethical decision-making to lead AI-driven business initiatives.
Career options include roles such as AI/ML project manager, data analyst, AI consultant, business intelligence analyst, or product manager in AI-driven organizations.
IIBS College supports AI/ML learning through partnerships with tech firms, internships, research projects, guest lectures by industry experts, and providing access to AI/ML tools and resources.
Challenges include a lack of technical expertise among faculty, the rapid pace of AI/ML advancements, limited industry exposure for students, and the need for up-to-date resources and infrastructure.
Ensure students are trained in AI ethics, including fairness, transparency, and privacy. Encourage discussions around the social implications of AI and regulatory compliance.
AI/ML equips students with the tools to analyze large data sets, improve decision-making, predict trends, and gain competitive advantages in various industries.
AI/ML can streamline administrative tasks, enhance student learning through personalized recommendations, optimize scheduling, and improve resource management for both faculty and students.
Students should familiarize themselves with tools like Python, TensorFlow, R, Google Cloud AI, Azure ML, and AWS SageMaker, which are commonly used in AI/ML projects.
Through internships, collaborative research, industry-specific projects, and guest speaker sessions, IIBS connects students with businesses utilizing AI/ML to solve real-world problems.
The future includes expanding AI/ML courses, increasing industry-academic collaboration, and providing students with exposure to emerging technologies like deep learning, natural language processing, and AI for business strategy.
Apply Now