Generative AI for managers

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Generative AI for Managers

ByEPAM

A tutorial for project, product, and delivery managers on leveraging GenAI while leading software developer teams.

Skills covered

GenAI Application Development

Management

Driving Change and Innovation

Adoption of GenAI in SDLC

$10$5080%

The discount applies until October 31, 2024

Money-back guarantee — 30 days after purchase

The course includes:

6.5 hours of study time
22 theory lessons
Self-check quizzes for theory
Follow-up materials for further study

Course rating
4.7/5
Course format
Self-paced course
Course level
Basic to intermediate
Course language
English

Knowledge you will gain

Where could GenAI get us?

Explore the five waves in which GenAI is likely to transform the software development industry from from manual coding to self-replicating systems.

The concept of GenAI

Get confident in any conversation about GenAI: dive into GenAI conceptual base, glossary, types, and stages of prompt engineering proficiency.

Building solutions with the help of GenAI tools

Discover the jobs GenAI tools can perform in a software development life cycle, and how it can be used for business analysis, development, and quality assurance.

Building GenAI applications

Get familiar with the concept of a business reasoning module and agentic workflows. Review types of GenAI-enabled software and things to consider while building those.

Facilitating GenAI adoption in a team

The rewards, risks, and challenges of GenAI adoption. Strategies and artifacts to persuade the client and the team. Setting up adoption process that doesn’t hinder performance.

Using GenAI for personal productivity

Ideas of PM/DM tasks that can be performed or facilitated by GenAI. The application domains include ideation, people management, strategic planning, client relationship, and more.

Study plan

4 modules
22 theory lessons
3 quizzes
6 h 30 mins

1Introduction

1 lesson
16 min

Five waves of the future for the gen AI-powered SDLC

16 min

2AI Literacy for Managers

5 lessons
1 h 10 min

3Gen AI in Software Development

4 lessons
2 h 20 min

4Adopting Gen AI: Taking the Lead

12 lessons
2 h 40 min

What is Gen AI adoption?

6 min

Why Gen AI adoption in software development is important

2 min

The manager’s crucial role in adoption

5 min

Risks of Gen AI adoption in SDLC

14 min

Change management — the three crucial roles

14 min

Handling resistance to change in Gen AI adoption

10 min

Persuading clients

11 min

Gaining team buy-in

12 min

Gen AI for personal productivity — manager’s perspective

19 min

Copilot for Microsoft 365

30 min

Quick generation of presentations

25 min

Quiz

12 min

Reviews

The course provided an exceptional foundation in AI within the Software Development Life Cycle (SDLC). It delved deep into topics like code refactoring, test data generation, and documentation, giving me a comprehensive understanding of how AI can seamlessly integrate into our workflows. I was particularly fascinated by the insights into Large Language Models (LLMs). I also learned new scenarios in GenAI like business reasoning and agentic workflows.
Srinath Reddy Mogusala
Techical Delivery ManageratEPAM Systems
A good balance between high-level explanation and low-level technical information.
Michael Brasse
Senior Director, Delivery ManagementatEPAM Systems
The training has a great idea of using AI and providing practical case studies. There are a great number of links to various AIs and additional sources, which is beneficial.
Alina Bretysheva
Project ManageratEPAM Systems
I really liked how everything is structured and the presentation of the material in general, plus we do not forget that we can use models locally, which can prevent data leakage.
Maksim Askirka
Quality Engineering ManageratEPAM Systems

Course experts

Maxim Saplin
Delivery Partner
Expert in leading large global engineering teams with a strong background in software development, specializing in project delivery and client engagement.
Pavel Agurov
Director, Delivery Management
Delivery Manager with a broad technical background, ranging from assembler to C# and Python, currently managing and developing multiple GPT initiatives.
Aleksandr Bogush
Product Manager
Focused on enterprise productivity analytics, Aleksandr excels in agile project management, with a strong emphasis on B2B product strategy and user research.
Oleksandr Somliev
Senior Product Manager
With extensive experience in product management, Oleksandr has successfully developed and launched 10+ products using Agile methodologies.
Siarhei Kukharenka
Senior Director, Delivery Management
Senior technical manager skilled in governing large-scale software projects and enhancing client relationships through best management practices.
Ali Oztas
Senior Data Scientist
Certified expert in NLP and Time Series, proficient in deploying large language models and building advanced generative AI systems for diverse applications.
Igor Zakharchenko
Senior Director, Delivery Management
Extensive experience in managing multi-project deliveries, focusing on customer satisfaction and team collaboration across diverse cultural backgrounds.
Katsiaryna Subach
Senior Project Manager
Leads large-scale delivery teams with a strong emphasis on value-driven solutions, engineering excellence, and technological innovation.
Pavel Nasovich
Senior Solution Architect
Expert in designing and implementing mission-critical data platforms with a focus on AI and ML (machine learning) for maximum business impact.
Oleksii Syrotenko
Senior Delivery Manager
With 15+ years of experience in IT industry, Oleksii specializes in managing technical projects, cloud platforms, cloud migrations, and strategic IT initiatives.