Certificate Course on Leveraging Artificial Intelligence for Business Strategy

Artificial intelligence (AI) has made a significant impact on the way businesses operate, in this course you will explore how to apply the latest AI methodologies to lead digital transformation within your organisation while upscaling your business skill set. It is designed to expand your understanding of AI and teaches the methodologies used for applying it to business scenarios and strategies and build your leadership credibility.

Module 1

This module will begin with a definition of Big Data, an exploration of its origins, and why the ways it is produced matter. You’ll examine the most useful approaches to Big Data analysis, and learn which skill set and competencies are required for Big Data analysis. You’ll also explore different data management and data analysis tools and discover how predictive analysis is used to extract intelligence from Big Data. By the end of this module, you’ll be better able to analyze big datasets, choose the right tools for analysis, and harness insights generated from Big Data to construct successful strategies for your business.

Module Overview:

• AI for Business Introduction
• Big Data Overview
• Big Data Analysis
• Data Management Infrastructure
• Data Analysis: Extracting Intelligence from Big Data

Module 2

In this module, you’ll examine the fundamentals of Artificial Intelligence, and delve deeper into Machine Learning. Through close examination of the history of AI and the expert systems approach, you’ll gain a deeper understanding of AI’s definition and types. You’ll also learn three types of Machine Learning (supervised, unsupervised, and reinforcement learning) and examine the differences between Machine Learning and AI. You’ll also explore factors that influence accuracy in Machine Learning, as well as analyze specific Machine Learning methods such as logistic regression, decision trees, and neural networks. By the end of this module, you will have a better understanding of both Artificial Intelligence and Machine Learning and be able to select appropriate algorithms and methods to optimize your business’ trajectory.

MODULE OVERVIEW:

• Introduction to Artificial Intelligence
• A Detailed View of Machine Learning
• Specific Machine Learning Methods: A Deep Dive

Module 3

In this module, you will explore real-world examples of Machine Learning in different business contexts, including personalization on the web, financial applications, and autonomous vehicles. You’ll learn about multiple applications of Machine Learning in finance, such as fraud detection and identity verification, as well as the opportunities and challenges of autonomous vehicles. Through analysis of various Recommender Systems, you’ll better understand their impact on markets and be able to address the challenges of each. By the end of this module, you’ll have a richer understanding of existing Machine Learning technologies and how they are transforming industries and markets.

MODULE OVERVIEW:

• Business Applications of Machine Learning and Personalization
• Personalization: Impacts on Markets
• Personalization: Addressing the Challenges
• Interview with Apoorv Saxena
• Machine Learning in Finance: Fraud Detection
• Machine Learning in Finance: Additional Applications
• Autonomous Vehicles (AVs)
• Challenges to Adoption

Module 4

In this module, you’ll explore how to strategically implement AI within your organization and manage AI governance. You’ll examine how to develop a portfolio approach of AI projects and learn how quick wins and long-term projects can help companies successfully utilize the power of machine intelligence. You’ll also analyze specific organizational behaviors that help organizations generate value from AI. Through a series of examples such as Xaoice and Tay, you’ll learn about the risks from AI and the social risks AI presents for firms. By the end of this module, you’ll be able to better navigate the risks of AI and construct a more efficient and successful AI strategy for your business.

MODULE OVERVIEW:

• Interview with ApoorvSavena
• AI-Driven Business Transformation
• Developing a Portfolio for AI Projects
• Lowering Barriers for AI Use
• AI in the Organizational Structure
• Risks with AI
• Governance
• Course Takeaways

Speaker Profile: Dr. Manish Kumar Jain

International Corporate Trainer

· Technical Consultant

· Data Scientist

· IOT Solution Architect

· Block chain Architect

Qualifications

· PhD – Deep/Machine Learning

· MCA – Computer Application

· MTech – Data Science

Certifications

· MCTS ,MCITP,MCSA ,MCP ,CCNA ,CCNP

· Certified Associate Data Center Virtualization

· Cloudera Hadoop Developer and Admin

· Certified Ethical Hacker

· EC-Council’s Certified Security Analyst

· Adobe Certified Expert

· OCJP Certified

· Black belt six sigma certification

· AWS Certified SysOps Admin -Associate

· AWS Certified Big Data – Specialty

· EXIN Cloud Computing Foundation, BCS SIAM

· DCA – Docker Certified Associate

· CKA – Certified Kubernetes Administrator

· CJE – Certified Jenkins Engineer

· Certified Block chain Expert

Technical Expertise

Internet of Things (IOT), Blockchain, Artificial intelligence (Al), Big Data , Industry 4.0, Machine Learning, Cloud Computing, Hadoop, Data Science, Deep Learning, RPA, DevOps, AR/VR/ MR, ThingWorx, Business Intelligence, ETL Tools, Full stack and Mean stack

Countries Visited for trainings and consulting.

Dubai, Oman, Tanzania, Thailand, UK, USA, Singapore, South Africa, Bhutan, Indonesia, Philippine, Malaysia, Australia, Kenya, Bahrain, Saudi Arabia, Kuwait, Qatar, Nepal, China, Bangladesh

Domain Expertise

Aerospace, Retail, Logistics, Energy, Banking, Telecom, Healthcare, Manufacturing, Education, Oil and Gas, Financial services

Professional Highlights

• 18+ years of Industry Experience as an International Corporate Trainer and Technical consultant.
• Subject Matter Expert for Microsoft, IBM, Hitachi and Micro focus educational programs.
• Created own cryptocurrency and crypto wallet called “Samriddhi Mudra”
• Sr. Consultant for “Smart City” implementation project from Gov. of India (IOT Consultant).
• Member  of  “Technical  Interview”  panel team  for  Major  Indian  and  overseas MNC’s.
• Member of Prestigious Institute for Designing the course content for emerging technologies.
• Taught 10000+ Academic & Industrial Trainees.

Who should attend:

Senior Leaders and Executives, Customer Support Teams, Tech Teams, Risk Management and Security Teams, Compliance Teams, Marketing and customer teams

Contact Details :

Revati Khare
Email : revati.khare@bombaychamber.com
Tel. (D) + 91 22 6120 0231; (M) + 91 9892029473