AI for Business Leaders Course

From vision to value: understand the AI landscape, prioritize initiatives and build phased adoption strategies that align with corporate goals and budgets

AI for Business Leaders Course

From vision to value: understand the AI landscape, prioritize initiatives and build phased adoption strategies that align with corporate goals and budgets

Training description

The course provides essential strategic knowledge for the Artificial Intelligence concepts and integration approaches, tailored for business leadership.

Participants will learn how to identify the top AI integration opportunities for their use-cases / needs, understand key technologies from a business perspective, and effectively leverage AI to enhance organizational projects and strategic goals, focusing on platform-agnostic principles and business value realization.

Training objectives

The main training objectives are:

Understand the essential AI concepts (ML, DL, NLP, CV, GenAI) and their strategic business value
Develop a framework for assessing the AI integration opportunities, based on the implementation complexity, envisioned ROI and resources requirements
Design a phased AI adoption strategy, that prioritizes simpler integrations and builds toward complex integrations
Build a realistic AI opportunity map and actionable execution roadmap for one business function
Identify and evaluate AI tools and integration strategies, with a focus on cost-benefit analysis and security implications

Training duration, days and sessions scheduling

The Core Curriculum provides essential AI strategic understanding through a 2-days course (approx. 7 hours daily), balancing foundational concepts (~30-40%) with strategic application discussions and frameworks (~60-70%).

The complementary optional Advanced Modules (1-2 days) are available for companies seeking to develop more comprehensive AI strategies and governance structures.

The complexity of the discussed topic
The questions and discussions related to it
The participant's interest in that topic

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The Core Curriculum (Essential Strategic Skills):

Day 1: AI Fundamentals and Business Opportunities - Builds foundational knowledge of AI capabilities, communication techniques, tools evaluation and responsible AI principles
Day 2: AI Integration Strategies and Implementation Considerations - Delivers actionable knowledge on leveraging internal data, integration approaches, strategic automation and building business cases

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Advanced Modules (Strategic Planning & Governance):

Advanced Module 1: Developing Your Organization's AI Strategy (1+ days): Focuses on creating a cohesive AI strategy, aligned with business goals, competitive analysis and capability planning
Advanced Module 2: Governing AI Initiatives & Measuring Their ROI (1+ days): Covers establishing governance frameworks, managing the AI projects lifecycle, defining business KPIs and measuring their ROI.

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The sessions include presentations, case study discussions, framework applications and strategic planning exercises, designed for maximum knowledge retention relevant to leadership roles.

Target Audience

Business Leaders and Executives
Project Managers and Program Managers, especially those overseeing AI initiatives
Strategists and Business Analysts involved in technology planning
Any non-technical stakeholder interested in understanding AI's strategic implications and integration options

Prerequisites

The following minimal prerequisites are required:

Basic familiarity with business operations and strategy concepts
Interest in understanding the potential applications and impact of AI on business
No prior deep technical expertise or programming skills are required

Presented Topics

Day 1: AI Fundamentals & Business Opportunities

Training overview and expectations setting (~10 min)
AI overview and sub-domains: core concepts & strategic value - AI/DL/ML/NLP/CV/GenAI overview, business value mapping overview
AI opportunity mapping workshop: identify the potential AI use-cases for the main business challenges
Developing actionable AI use-cases: converting the high-level opportunities into well-defined integration use cases, with clear business contexts
Evaluating AI tools: landscape, selection & integration - categories, evaluation criteria, integration challenges
Responsible AI: managing business risks & building trust - fairness, reliability, privacy, transparency and accountability, from a business perspective
Day 1 review and Q&A

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Day 2: AI Integration Strategies & Implementation Considerations

Strategic prioritization of AI initiatives: prioritize the identified AI initiatives, for a gradual integration
Data foundations for AI success: assess and plan the organizational data used in the prioritized AI integrations
Practical integration pathways: high-level overview of the integration methods with the existing business systems
Crafting compelling AI integration business cases: ensure the organizational buy-In, using quantifiable value propositions
Roadmap development for sustainable AI growth: create a phased implementation plan, with defined success metrics
Overview of the optional advanced modules
Course wrap-up, evaluation of the next steps
Final Q&A and feedback

Course Schedule

Day 1

AI Fundamentals & Business Opportunities

Training overview and expectations setting
AI overview and sub-domains: core concepts & strategic value - AI/DL/ML/NLP/CV/GenAI overview, business value mapping overview
AI opportunity mapping workshop: identify the potential AI use-cases for the main business challenges
Developing actionable AI use-cases: converting the high-level opportunities into well-defined integration use cases, with clear business contexts
Evaluating AI tools: landscape, selection & integration - categories, evaluation criteria, integration challenges
Responsible AI: managing business risks & building trust - fairness, reliability, privacy, transparency and accountability, from a business perspective
Day 1 review and Q&A

Day 2

AI Integration Strategies & Implementation Considerations

Strategic prioritization of AI initiatives: prioritize the identified AI initiatives, for a gradual integration
Data foundations for AI success: assess and plan the organizational data used in the prioritized AI integrations
Practical integration pathways: high-level overview of the integration methods with the existing business systems
Crafting compelling AI integration business cases: ensure the organizational buy-In, using quantifiable value propositions
Roadmap development for sustainable AI growth: create a phased implementation plan, with defined success metrics
Overview of the optional advanced modules
Course wrap-up, evaluation of the next steps
Final Q&A and feedback

Understanding Your Needs

Please feel free to contact us for a short discussion, to understand your learning needs and timeline

Consulting Services

Testimonials

We really enjoyed Bogdan's training sessions. It's always cool to learn and have fun while doing them. He is very patient and always prepared to offer the best solution/explanation for any problem/question. ... I also love his ability to extend the context for each chapter, offering many smart hooks to integrate the concept in a broader picture, which makes it all easier to understand.

Sorin, Crossover

Bogdan is our coach who helped shape our vision to use Java and Spring/SpringBoot in today's marketplace. He is highly skilled, extremely passionate and has a strong work ethic. With his unique and practical approach, he taught us from technology fundamentals on up to software design and best practices. He is continuously helping us progress on a growing path in software development. I enjoy working with Bogdan very much and I consider him a friend.

Andrei, Óce

When we approached Bogdan for a Java training, our goal was to up-skill our team of PL/SQL developers in order to become proficient in Java. [...] Bogdan has vast experience in the topics and very good communication and presentation skills. The pace was very good and he was very thorough in responding all questions, providing lots of related documentation for further study.

Radu, Nokia

Working with Bogdan is really inspiring and I always learn something new from his training and coaching sessions. All the training sessions are well-structured, use examples and employ hands-on components. What I enjoyed most during his training sessions is that they made me eager to learn more and to extend my knowledge. And it's not hard to do, thanks to the documentation that Bogdan provides for further reading.

Corina, Cerner

For a year and a half I've participated in various courses held by Bogdan, from Java 8, Spring, Maven to Docker. He has a good methodology, a strong background, he keeps you interested and he is open for discussions even after the training sessions, which is very important. Usually we have more questions after we start using the knowledge from the courses.

Ion, Sociéte Générale

I have participated in several training sessions held by Bogdan, including Java 8, Maven, CI & CD, Git and Spring. Every time we were thrilled to discover the information and best practices described, especially as he exemplified them with many hands-on examples. Furthermore, there were a few things present in each session that defined Bogdan's approach, namely, professionalism, vast knowledge and experience, innovative solutions, a great personality and a sense of humor.

Lavinia, Elysian

I am the self-learning type; I usually get bored at every course/training, very quickly. With this course, it was not the case. I payed attention ~95% of the time, which is very rare for me.

Ionuț, Nokia

I was pleasantly surprised by this course, being probably much more than other courses that can be found online. The presentation is very good, the materials are well structured and prepared, with many examples. Moreover, I consider the context information to be welcome, some of it was not very "settled" for me, such as the information about the application architecture, etc. Another plus regarding the training and the trainer is the fact that I managed to pay attention approximately 99% of the time, which I find amazing.

Dorina, ANAF

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