AI and Machine Learning – Business Implementation

AI and Machine Learning – Business Implementation

This course is designed for professionals seeking to apply Artificial Intelligence (AI) and Machine Learning (ML) tools in real business environments, using Python, modern frameworks, and automation methodologies focused on productivity and return on investment. The training covers everything from theoretical fundamentals to the deployment of intelligent solutions, with a hands-on, project-based approach.

Exam details

Format: the exam includes true/false questions, multiple choice and single answer, complete concept flows, etc.

Number of questions: 60
Open book: No
Languages: German, Spanish, English, Portuguese (Brazil)
Minimum passing score: 70%
Duration (In minutes): 120 minutes

Anyone interested in acquiring basic knowledge related to the use of AI.

Develop intelligent solutions applicable to real processes within their company or industry. Understand the mathematical, logical, and computational foundations behind AI and ML. Manipulate and analyze data using Python and libraries such as Pandas, NumPy, and Scikit-learn. Train predictive and classification models tailored to different contexts. Apply Natural Language Processing (NLP) to automate text and language-related tasks. Use tools like TensorFlow, HuggingFace, and APIs to deploy functional models. Integrate conversational agents and LLMs (such as GPT) to enhance customer experience and internal operations. Identify automation opportunities in their professional environment and turn them into measurable solutions.