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Advanced Certificate in AI

Duration: 3 Months / 12 Weeks / 48 hrs

Industry Acceptance

The objectives of the Advanced Certificate Programme in AI for NIRA are to:

Equip participants with a deep understanding of advanced AI concepts and practical skills. Enhance efficiency and productivity through AI automation and strategic work. Improve decision-making by analyzing data to identify patterns and trends. Foster innovation and develop new AI-driven products and services.

Accredited by

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Registration Fees

₹ 1500

non-refundable

Course Fees

₹ 55,000

Flexible EMI options available.

Batch Start

Aug, 2025

Duration

3 Months / 12 Weeks / 48 hrs

Program Structure

Eligibility: Undergoing a Diploma / Graduate in any discipline or equivalent with Mathematics

Duration: 3 Months / 12 Weeks / 48 hrs

Batch Start Date: Aug, 2025

Batch Size: 25-30

Courses and Certification Conduct Policy:

What are the benefits to persue Business Excellence with AI program?

This program can:

Increased efficiency and productivity: AI can automate tasks, free up employees' time for more strategic work, and improve overall efficiency.
Improved decision-making: AI can analyze large amounts of data to identify patterns and trends that humans might miss, leading to better-informed decisions.
Enhanced customer experience: AI can be used to personalize marketing, provide more responsive customer service, and develop new products and services that meet customer needs.
Reduced costs: AI can help businesses save money by automating tasks, optimizing processes, and reducing errors.
Increased innovation: AI can help businesses develop new products and services, and find new ways to solve problems.

What are some examples of business excellence with AI?

There are many examples of businesses using AI to achieve excellence, including:

Amazon: Amazon uses AI to recommend products to customers, personalize marketing campaigns, and optimize its logistics network.
Netflix: Netflix uses AI to recommend movies and TV shows to viewers, personalize marketing campaigns, and improve the quality of its streaming service.
JPMorgan Chase: JPMorgan Chase uses AI to detect fraud, manage risk, and personalize financial products and services for customers.
Siemens: Siemens uses AI to optimize its manufacturing processes, predict equipment failures, and develop new products and services.

What skills you would learn from Business Excellence with AI program?

This program equips you with a potent blend of theoretical knowledge, practical skills, and critical thinking abilities. Here's a breakdown of the key skill sets learners can acquire:

Identify opportunities and outline a plan to use AI and ML methods for improved business performance.
Apply data-driven business innovation best practices to enhance organisational performance.
Create an executive summary of an AI implementation/improvement plan for your organisation.
Strategically leverage Generative AI for informed leadership decisions and productivity.
Change mindsets and culture to enable digital and AI-enabled revolution.
Recognise the ethics, privacy, regulations in AI and ML for safer implementation.
Assess and evaluate the current leadership mindset to innovate and reinvent with AI.

Who is this program for?

This program is best suibable for:

Senior Stakeholders: Senior stakeholders who want to build or grow AI and ML oriented businesses or products. Senior business leaders who want to scale AI and ML into their organisations.
Functional Leaders:Functional leaders in fields such as marketing, finance and other operational areas who would benefit from a better understanding of how to leverage AI and ML in decision-making

Program Structure:

Module 1: AI and ML OVERVIEW

Introduction to Machine Learning +

Cover the basics of machine learning, including supervised and unsupervised learning, algorithms, and model evaluation

Ethical Considerations in AI +

Discuss the ethical implications of AI and ML, bias, fairness, and responsible AI development.

History and Evolution of AI +

Explore the journey of AI from its inception to the present day.

Module 2: SETTING UP STAGE FOR AI

Data Preparation and Preprocessing +

Dive into data cleaning, feature engineering, and data transformation techniques.

Infrastructure and Tools for AI +

Understand the hardware, software, and cloud services needed for AI implementation.

Creating a Development Environment: +

Set up Python environments, Jupyter notebooks, and other tools for AI development.

Module 3:BUSINESS TRANSFORMATION

AI Strategy and Roadmap +

Develop an AI strategy aligned with business goals and create a roadmap for implementation

Change Management in AI Adoption +

Address organizational change, stakeholder buy-in, and cultural shifts during AI adoption.

Case Studies of Successful AI Transformations +

Analyze real-world examples of companies that have successfully transformed their business using AI.

Module 4: ADDRESSING IMPLEMENTATION CHALLENGES

Model Deployment and Monitoring +

Learn about deploying ML models in production, monitoring performance, and handling updates.

Scalability and Performance Optimization +

Explore techniques to scale AI solutions and optimize performance.

Handling Data Privacy and Security +

Understand privacy regulations, data protection, and secure AI systems.

Module 5: BUSINESS MODELS FOR AI-LED BUSINESS

Monetization Strategies for AI Products +

Explore subscription models, freemium, licensing, and other revenue streams.

Creating Value with AI +

Discuss how AI can create value for customers, improve processes, and drive revenue.

Business Model Canvas for AI Startups +

Apply the business model canvas to AI-focused startups.

Module 6: LEADERSHIP IN THE AGE OF AI

AI Leadership Skills +

Develop leadership skills specific to AI, including communication, decision-making, and vision-setting.

Leading AI Teams +

Understand team dynamics, cross-functional collaboration, and managing AI talent.

Navigating Ethical Dilemmas as a Leader +

Address ethical challenges related to AI decisions.

Module 7: Leading Yourself, Team, and Organizations:

Self-Leadership and Personal Growth +

Explore self-awareness, resilience, and continuous learning.

Team Building and Motivation +

Learn how to build high-performing AI teams and motivate them.

Organizational Leadership +

Understand organizational culture, change management, and strategic leadership.

Module 8: LEADING CHALLENGES: CRISIS MANAGEMENT, SOCIETIES, THROUGH ESG CHALLENGE

Crisis Leadership and Resilience +

Prepare leaders to handle crises, disruptions, and unexpected challenges.

Societal Impact of AI +

Discuss the role of AI in society, ethical dilemmas, and responsible AI practices.

Environmental, Social, and Governance (ESG) Considerations +

Explore how AI impacts ESG factors and how leaders can address them.

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