Passionately developing careers since 2000.
Overview
Course Outline
Schedule & Fees
Methodology
The course adopts an interactive and practical methodology that combines knowledge with hands-on practice and focuses on:
Learning by Doing: Applying concepts directly through practical exercises.
Interactive Training: Engaging participants through practical activities and exercises.
Progressive Learning: Moving from fundamental concepts to advanced applications.
Practical Application: Applying skills to realistic workplace tasks and scenarios.
Prompt Engineering: Developing and optimizing prompts to improve the quality of AI outputs.
Critical Thinking: Evaluating and verifying AI-generated outputs.
Continuous Assessment: Assessing learning through practical exercises.
Final Practical Project: Integrating the skills acquired throughout the course.
Course Objectives
By the end of the course, participants will be able to:
Understand the fundamentals of artificial intelligence and its key applications.
Master the principles of Prompt Engineering and improve AI-generated outputs.
Leverage AI for productivity, data analysis, and task automation.
Support decision-making and enhance business processes and customer experience.
Understand AI governance principles, risks, and ethical and legal considerations.
Utilize AI to create digital and creative content.
Apply the acquired skills through an integrated practical project.
Target Audience
Executives, managers, department heads, and supervisors.
Employees across various sectors and professional disciplines.
Digital transformation, innovation, and information technology specialists.
Human resources and learning and development professionals.
Marketing, corporate communications, and customer service specialists.
Professionals involved in data analysis and decision support.
Entrepreneurs, professionals, and individuals interested in developing their digital skills.
Target Competencies
Fundamental knowledge of artificial intelligence and its tools.
Proficiency in Prompt Engineering and interaction with AI models.
Critical thinking and verification of AI-generated outputs.
Applying AI to productivity, data analysis, and automation.
Understanding AI governance, risk management, and responsible use.
Creating digital and creative content using artificial intelligence.
Larimar will help you find what you are looking for