This program is ideal for:

• Young professionals and emerging leaders (25-35 years old)
• Managers and team leaders seeking to enhance their understanding of AI and Digital Transformation
• Entrepreneurs and startup founders looking to leverage AI for innovation and growth
• Professionals in any industry who want to stay ahead of the curve in the digital age
• Individuals with a bachelor's degree or equivalent.
• Professionals with 2-5 years of work experience.

Program Highlights:

• Interactive virtual classes
• Case studies and real-world examples
• Hands-on exercises and assignments
• Discussions and Q&A sessions
• Guest lectures from industry experts
• Networking opportunities with peers

Learning Components

• Module 1: Introduction to Digital Transformation
• Module 2: Overview of Artificial Intelligence
• Module 3: AI for Business Applications
• Module 4: Digital Transformation Strategies

Duration: One month (4 weeks)

Schedule: Virtual classes will be held on weekends (Saturday and Sunday) from 5:00 PM to 8:00 PM (IST).

Program Fee: ₹4900 (Inclusive of all taxes)

Certification:
Upon successful completion of the program, participants will receive a certificate of completion.

How to Apply:
Interested candidates can apply online through [Insert Application Link Here]. The application process may include submitting a resume and a statement of purpose.

Program Benefits:

• Gain a comprehensive understanding of AI and Digital Transformation.
• Develop the skills to drive innovation and lead digital initiatives.
• Learn from industry experts and network with peers.
• Enhance your career prospects in the digital age.

Certification:
Upon successful completion of the program, participants will receive a certificate of completion.

Prepare your institution and faculty for the transformative power of Artificial Intelligence.

Program Highlights:

• Title: Certificate in Artificial Intelligence for Higher Education
• Start Date: July 1st, 2025
• Class Schedule: Virtual classes every Friday and Saturday
• Delivery Mode: Online
• Target Audience: Faculty, administrators, academic leaders, and staff in higher education institutions.
• Program Duration: 3 months

Key Focus Areas:

• Understanding the fundamentals of AI and its applications in education.
• Leveraging AI tools for personalized learning and student support.
• Exploring ethical considerations and responsible AI implementation.
• Developing strategies for AI integration in curriculum design and assessment.
• Preparing for the future of work and the AI-driven academic landscape.]

Who Should Enroll?

• Faculty Members (across all disciplines)
• Academic Administrators and Leaders
• Instructional Designers and Technologists
• Student Affairs Professionals
• Anyone interested in understanding and implementing AI in higher education.
  
  
  

This intensive one-month certification program is designed to equip you with the knowledge and strategic insights to understand, implement, and capitalize on the latest advancements in AI and GenAI.

What You Will Learn:

This comprehensive program covers key modules including:

• Foundations of Artificial Intelligence:
• Understanding core AI concepts, terminology, and historical evolution.
• Exploring different branches of AI: Machine Learning, Deep Learning, Natural Language Processing (NLP), Computer Vision, Robotics, etc.
• Demystifying the underlying principles and algorithms.
• Introduction to Generative AI (GenAI):
• Deep dive into the concepts and techniques behind GenAI models.
• Exploring various GenAI architectures: Large Language Models (LLMs), Diffusion Models, Generative Adversarial Networks (GANs).
• Understanding the capabilities and limitations of current GenAI technologies.
• Business Applications of AI &GenAI:
• Identifying and analyzing real-world business use cases across industries (e.g., marketing, finance, operations, HR).
• Exploring AI-powered solutions for automation, personalization, forecasting, and decision-making.
• Understanding the strategic implications of GenAI in content creation, product development, and customer engagement.
• Developing AI-Driven Business Strategies:
• Formulating effective AI adoption strategies aligned with business goals.
• Evaluating the feasibility and ROI of AI initiatives.
• Addressing ethical considerations, risk management, and data privacy in AI implementation.
• Implementing and Managing AI Projects:
• Understanding the key steps involved in the AI project lifecycle.
• Exploring essential tools and platforms for AI development and deployment.
• Discussing change management and talent development for an AI-integrated workforce.
• The Future Potential of AI & GenAI:
• Exploring emerging trends and future directions in AI research and development.
• Analyzing the potential impact of AI on various industries and the global economy.
• Preparing for the evolving landscape of AI-driven innovation.

Program Highlights:

• Duration: One Month (Intensive Learning)
• Learning Mode: Virtual Classes (Live, Interactive Sessions)
• Schedule: Two days per week (Specific days and timings will be announced)
• Expert Faculty: Learn from leading academics and industry professionals with deep expertise in AI and business strategy.
• Interactive Learning: Engage in discussions, case studies, and practical examples.
• Certification: Receive a prestigious certificate of completion from IILM University, School of Management - Executive Education.
• Networking Opportunities: Connect with peers and industry experts.

Who Should Attend?

This program is ideal for:

• Business Leaders and Executives seeking to understand and leverage AI for strategic advantage.
• Managers and Professionals looking to implement AI solutions within their respective functions.
• Entrepreneurs and Start-up Founders aiming to build AI-powered products and services.
• Technology Professionals wanting to broaden their understanding of AI's business implications.
• Anyone interested in understanding the transformative potential of AI and GenAI in the business world.

📅 Duration: One Month( starting date every month from 1st week)
🕒 Format: Hybrid (Online Sessions + Live Interactive Webinars)

📍 Who Should Attend:
✔️ Senior Managers & Executives
✔️ Strategy & Finance Professionals
✔️ CXOs, Board Members & Key Stakeholders
✔️ IT & Data Leads in Financial Roles

🔍 Course Highlights:
📊AI for Strategic Planning & Business Foresight
💼AI in Financial Modelling & Capital Allocation
📉Risk Management with Predictive Analytics
🤖Machine Learning Applications in Decision Support Systems
💡Real-World Case Studies from Leading Industries
⚖️Ethical AI Use & Corporate Governance Insights

🎯Why Enroll?
• Stay ahead of the AI curve in leadership and decision-making
• Gain actionable insights for your organization’s growth
• Learn from industry experts and top faculty
• Receive a prestigious university certification

Week 1: Introduction to AI in Accounting/ AI in Bookkeeping and Tax

Objective:

Understand the fundamentals of AI, its evolution, and its role in transforming accounting practices.&Learn how AI automates bookkeeping and simplifies tax compliance

Topics Covered:

• Fundamentals of Artificial Intelligence and Machine Learning
• Evolution of AI in business and accounting
• Data-driven decision-making in financial systems
• Key AI technologies: NLP, Machine Learning, and Robotic Process Automation (RPA)
• Overview of AI-enabled accounting software (QuickBooks, Zoho Books, Xero, Sage Intacct)
• The future of accounting with AI
• Automating bookkeeping tasks using AI and RPA
• Smart data entry, invoice management, and reconciliation
• AI-based expense categorization and fraud detection
• AI tools for tax preparation and compliance
• Predictive analysis for tax forecasting and optimization
• Regulatory considerations and digital tax platforms

Outcome:
Participants will understand what AI is, how it applies to accounting, and where it adds value.
Participants will gain skills in automating repetitive accounting and tax tasks through AI-driven tools.

Week 2: AI Applications in Accounting

Objective:

Explore real-world AI applications in financial reporting, auditing, and internal control.

Understand and build simple AI models relevant to accounting data.

Topics Covered:

• AI in audit analytics and risk assessment
• AI for detecting anomalies and fraud in financial statements
• Natural Language Processing (NLP) for reading and summarizing financial documents
• AI-powered chatbots for client and internal communication
• Predictive models for cash flow forecasting
• Cloud and AI integration in accounting
• Basics of supervised and unsupervised learning
• Data preprocessing for accounting datasets
• Regression and classification models in accounting (e.g., credit risk prediction, invoice categorization)
• Time series forecasting for financial data
• Introduction to Python for accounting analytics
• Using Excel Copilot or Power BI AI Visuals

Outcome:
Participants will learn how to design and interpret AI models applicable to accounting data.

Participants will learn to leverage AI for insights, accuracy, and efficiency in accounting operations.

Week 3: Implementing and Managing AI Systems/ AI in Financial Analysis and Strategic Planning

Objective: Learn how to plan, implement, and monitor AI adoption in accounting systems.

Apply AI tools for financial forecasting, valuation, and strategic insights

Topics Covered:

• Stages of AI implementation in organizations
• Integration of AI with ERP systems (SAP, Oracle, Tally Prime)
• Managing AI projects – governance and change management
• Data privacy, quality, and security considerations
• Evaluating ROI and performance metrics for AI solutions
• AI for financial statement analysis and ratio interpretation
• Predictive analytics for budgeting and forecasting
• AI in risk management and portfolio optimization
• Strategic decision-making with AI insights
• Power BI and Tableau AI features for visual storytelling
• AI-driven scenario planning and simulation

Outcome:
Participants will understand how to manage and sustain AI initiatives in their accounting environment
Participants will learn how to use AI for advanced financial analysis and strategic business planning.

Week 4: Integrating AI Tools into Existing Systems&AI Ethics, Compliance, and Future Trends

Objective: Gain practical knowledge in integrating and customizing AI tools with existing accounting platforms.

Topics Covered:

• APIs and automation tools (Zapier, Power Automate)
• Integrating AI with Tally, SAP, and QuickBooks
• Workflow automation using ChatGPT and Excel
• Cloud computing and AI-based data storage
• Case study: End-to-end AI integration in an accounting workflow

• Ethical use of AI in financial decision-making
• Bias, transparency, and accountability in AI algorithms
• Data privacy (GDPR, Indian DPDP Act, etc.)
• Legal and professional responsibilities for accountants using AI
• The future of AI in auditing, assurance, and consulting
• Emerging technologies: Generative AI, Blockchain, and Quantum Accounting

Outcome:
Participants will develop hands-on skills in integrating AI solutions within existing accounting systems./ Participants will appreciate the importance of ethics, compliance, and governance in AI-powered accounting.