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Quick Facts

Medium Of Instructions	Mode Of Learning	Mode Of Delivery	Frequency Of Classes
English	Self Study, Virtual Classroom	Video and Text Based	Weekdays, Weekends

Course Overview

The Competing in the Age of AI—Virtual certification is an eight weeks course that is a launch of Harvard Business School. These days businesses compete and operate in a competitive spirit and artificial intelligence helps in these situations to capture, compare, capture, and even achieve growth. This course is ideal for business professionals who are decision-makers of big or small organizations.

The Competing in the Age of AI—Virtual certification by Harvard University’s Business School can be suitable for people belonging to any kind of industry. No matter what the industry is, one cannot afford to ignore this exciting trend of artificial intelligence. This live online certification programme can help one to unlock growth potentials that can help solve challenges in an organisation by leveraging Data Analytics.

The Highlights

Programme on AI
8 weeks course
Virtual sessions held
3- 5 hours of self-paced learning
Course by Harvard Business School

Programme Offerings

100% Online
Case Studies
group discussions
Virtual Networking
Self-paced Course
Recognised Faculty
8 Months Course

Courses and Certificate Fees

Certificate Availability
no

The Competing in the Age of AI—Virtual certification fees are as follows:

Description	Amount
Programme Fee	$5000

Eligibility Criteria

Educational Qualification

Any formal educational qualifications are not required

What you will learn

Knowledge of Artificial Intelligence

Let us see what the candidates can learn for the Competing in the Age of AI—Virtual syllabus:

Candidates can understand how can transform their businesses, and cause benefits.
Whatever material is taught to the learners focuses on leading companies like Ant Financial and Moderna.
Candidates can use this course for both startups, and long-established companies to successfully thrive in this competitive world.
Learners after this course can evaluate the performance of their own organisations with other companies that will examine the use of AI in these businesses.
Candidates can learn to spot differences between AI, Data Science, and machine learning.
Learners will also learn about how to develop data processing, sourcing, data analytics, Algorithms, and predictive models.

Who it is for

AI DeveloperHuman Resource ManagerProduct Development ManagerSupply Chain ManagerMarketing ManagerDigital Marketing ExecutiveMachine Learning Engineer

Here is the list that can opt for the programme:

Any established or startup leaders or decision-makers who want to build their organisation’s digital transformation strategy.
Leaders from business and technology fields perform different functions and roles related to Supply Chain, Marketing, Human Resources, Design, Product Development, and more.
Cross-functional teams who are charged with digital transformation with the help of AI platforms.

These professionals could be:

Entrepreneur
Product Development Manager
Supply Chain Manager
Marketing Manager
Human Resource Manager
Digital Marketing Executive
AI Developer
Machine Learning Engineer

Admission Details

Let us see what is the process that must be followed for admission to the Competing in the Age of AI—Virtual certification course:

Step 1: Get on with visiting the official website: https://www.exed.hbs.edu/competing-age-ai-virtual/.

Step 2: Next, scroll a little bit and get down to the ‘Admissions Criteria and Process’ section.

Step 3: Interested candidates can submit their applications, and then wait for the selection process based on their organizational responsibilities.

Step 4: After everything is verified, admission shall be granted.

The Syllabus

Tracing digitization of the economy and the (re)emergence of AI
Understanding the impact of AI on business and operating models
Developing a framework for driving business and industry transformation
Evolving leadership in the era of AI
Exploring surprising uses of AI today

Overcoming the challenge of developing strategy in today's AI landscape
Comparing AI-first firms to traditional product and/or service-based organizations
Implementing powerful innovation frameworks
Building network effects, using them to accelerate competitive advantage—and competing against them
Taking full advantage of learning effects as you scale your operations

Developing a data pipeline to gather, clean, integrate, and safeguard data in a systematic, sustainable, and scalable way
Developing algorithms
Deploying personalization for maximum effectiveness
Using predictive modelling to anticipate future states or actions of the business
Testing hypotheses with an experimentation platform
Ensuring that your infrastructure supports key processes and connects them to both internal and external users

Accruing the advantages of scale, scope, learning, and speed to innovate and go to market
Understanding how companies with an AI factory core deliver significant value to customers
Designing and implementing organizational and technological architectures needed to achieve success
Navigating the inherent challenges of AI and capturing strategic opportunities