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Generative AI for Professionals and Leaders

Name: Generative AI for Professionals and Leaders
Rating: 4.4 (590 reviews)

Excel in your career leveraging Gen AI - Fundamentals, Implementation, AI Safety, Change Management, GenAI CoE

Created byArjun Janananda

Last updated 9/2026

English

English [Auto],French [Auto],

What you'll learn

Boost your career with complete understanding of Generative AI and how you can implement it.
Detailed concepts of Artificial Intelligence and everything that drives Generative AI (Gen AI) Models to produce the outputs we desire
Prompt engineering techniques to extract very precise work from GenAI
Risks that GenAi poses, along with ethical considerations around Responsible AI
Making the most of opportunities in a Future where all businesses are powered by Gen AI
Framework to measure the impact GenAI can have on your organization
Setting up GenAI Center of Excellence (CoE) at your workplace to gain maximum impact of GenAi

Course content

13 sections • 41 lectures • 3h 27m total length

Introduction2:14
Explore the foundations of artificial intelligence and the essentials of generative ai for professionals. Learn prompt engineering and strategies to implement gen ai within organizational culture, strategy, and ethics.
Course Curriculum0:18

Understanding Generative AI capabilities2:25
Evolution and Current state of GenAI in 20263:47
Explore how generative AI moved from curiosity to mainstream by 2026, with multi-modal models, longer memory, and agentic capabilities embedded in enterprise workflows.
Gen AI - Democratizing access to technology4:06
Artificial Intelligence, Machine Learning, Deep Learning and Generative AI4:17
Prompt Engineering10:45
Explore prompt engineering as a practical craft for creating precise inputs across text, image, audio, and video generation, and learn techniques to guide AI with clarity, accuracy, and structured prompts.
RAG Fine Tuning and AI agents3:46
Explore how retrieval augmented generation retrieves external sources to improve accuracy, and how fine tuning tailors models to specific tasks, plus how AI agents orchestrate complex workflows and autonomously act.
Agentic AI - I9:00
Agentic AI - II4:18
Advantage of Retrieval-Augmented Generation (RAG)
RAG vs Fine Tuning
Implementing Agentic AI

AI Tools Landscape For Enterprises - I8:03
Explore the enterprise AI tools landscape, including ChatGPT, Copilot, Gemini, and Claude. Identify which tool type fits your work and assess data privacy and software integration.
AI Tools Landscape For Enterprises - II6:54
Offer domain knowledge through specialized enterprise AI tools and integrations that general AI lacks. Shift AI from assistant to autonomous collaborator, with humans overseeing rather than executing work.
Usage methods for Enterprise AI4:03
Explore three enterprise AI deployment options—public consumer tools, enterprise versions, and private deployments—emphasizing privacy, compliance, data governance, and data sovereignty for sensitive business data.
Risk and Deployment Strategy
Building Software with GenAI3:30
Explore how Gen AI wrappers enable generation of text, PPT scripts, and video outputs, and see how agentic AI reshapes software creation from planning to deployment.
Section Notes0:04

The Future of an Enterprise - Powered by Gen AI4:27
Generative AI transforms enterprises by accelerating insights, personalized content, and automated tasks, enabling data-driven decisions, agile operations, and new business models for competitive advantage.
Gen AI's Impact on Corporate Culture and Talent management5:05
Leverage generative AI to transform culture and talent management, enhancing transparency, connectivity, and learning through onboarding, mentorship, and just-in-time skill development.
Employee Empowerment with GenAI6:23
Gen AI empowers employees at all levels by accelerating learning, personalizing growth paths, and enhancing daily work—from junior tasks to strategic decisions—through mentoring, content generation, and automated workflows.
Role of Senior Leaders in the Era of Generative Ai4:53
Cultural and talent-related challenges while implementing Gen AI
Role of Middle Managers

Implementing Generative AI in your Organization -I3:41
Implementing Generative AI in your Organization -II4:23
Gather high-quality relevant data from logs, databases, and APIs (including OCR for PDFs), ensure governance, privacy, and compliance, assemble cross-functional team, and set SMART goals for human oversight and scaling.
Implementing Generative AI in your Organization -III6:34
Design and iterate effective prompts with your team, build a simple, accessible AI UI, test with users, document outcomes, and scale through a centre of excellence and continuous learning.
Criterion for selecting a domain to integrate generative AI
Recommended practice when designing and refining prompts

Risks GenAI Adoption Poses6:31
Managing the Risks to Unlock the Full Potential of Generative AI - I4:06
Managing the Risks to Unlock the Full Potential of Generative AI - II3:50
Establishing Governance Framework for GenAI5:28
Establish a cross-functional Gen AI governance framework that integrates existing oversight with responsible AI guidelines. Create risk management, training programs, and a culture balancing rapid deployment with ethical, compliant innovation.
Risk Posed by Generative AI
Strategy to mitigate the risks

Why do we need a Gen AI Center of Excellence2:50
Establish a Gen AI center of excellence to coordinate change, standardize processes, automate tasks, and scale use cases for sustained operational excellence and maximize ROI across the organization.
Steps to set up Gen AI Center of Excellence9:26
Define the gen ai center of excellence vision aligned with business strategy, set objectives and KPIs, appoint an executive sponsor, and build governance, ethics, risk management, data governance, and infrastructure.
How Gen AI CoE is different from other CoEs7:58
Explore how to establish a Gen AI center of excellence that emphasizes ethical governance, data privacy, interdisciplinary teams, and continuous learning to responsibly advance AI across the organization.
Generative AI Center of Excellence Quiz

Requirements

This course is for working professionals from any domain. No prior technical or domain knowledge required

Description

This course is designed specifically for working professionals.

Whether you have just started your professional journey or are already in a senior role with the ability to integrate GenAI into your workflows, this course is for you.

This course will empower you to harness the potential of GenAI in your work and equip you with the expertise to become a GenAI leader within your organization.

Throughout this course, we will thoroughly explore how generative AI technologies intersect with various aspects of business. We’ll start by covering foundational concepts in Artificial Intelligence (AI), Machine Learning (ML), and Deep Learning, leading up to the exciting field of Generative AI.

We will learn the basics of prompt engineering techniques - which is our gateway to everything GenAI—We will also learn how to optimize interactions with AI models– To extract the best possible outcomes from Generative AI systems.

We will also explore diverse use cases across various industries and delve into advanced topics like Retrieval-Augmented Generation RAG and model fine-tuning, discussing how these concepts can be applied to enhance the performance of GenAI.

Further, we’ll analyze where organizations currently stand in terms of leveraging GenAI and also envision a future where all businesses are powered by this transformative technology.

We’ll uncover the value, that AI can bring to your organization and discuss strategies as how you can go about implementing GenAI effectively.

Additionally, we will discuss the framework for integrating AI into organizational culture and in your business strategy as well

We will also address the risks the GenAi poses, along with ethical considerations around Responsible AI,

Further, we will develop a framework for measuring the impact of Generative AI implementations within your organization.

By the end of this course, you will not only have a fundamental understanding of how Generative AI functions, but you’ll also be prepared to implement it in your organization, positioning yourself as a leader in this transformative technology

Who this course is for:

Any working professional who wants to advance his career leveraging Generative Artificial Intelligence (Gen AI)

Generative AI for Professionals and Leaders

What you'll learn

Explore related topics

Course content

Introduction2 lectures • 3min

Foundational Knowldege about Generative AI8 lectures • 42min

AI Tools Landscape5 lectures • 23min

The Future of an Enterprise - Powered by Gen AI4 lectures • 21min

AI Safety2 lectures • 9min

Implementing Generative AI in your Organization3 lectures • 15min

Ethical Implications and Considerations while Implementing Gen AI4 lectures • 20min

Measuring the Impact of Generative AI Implementation in your Organization2 lectures • 15min

Practical Use Cases for GenAI in an organization1 lecture • 11min

Set up Generative AI Center of Excellence (GenAI CoE)3 lectures • 20min

Requirements

Description

Who this course is for: