Supervised Learning Training in Braga

This instructor-led, live training in Braga (online or onsite) is designed for participants with varying levels of expertise who want to use Google's AutoML platform to build custom chatbots for various applications.

By the end of this training, participants will be able to:

• Understand the fundamentals of chatbot development.
• Navigate the Google Cloud Platform and access AutoML.
• Prepare data for training chatbot models.
• Train and evaluate custom chatbot models using AutoML.
• Deploy and integrate chatbots into various platforms and channels.
• Monitor and optimise chatbot performance over time.

This instructor-led, live training in Braga (online or onsite) targets intermediate-level professionals who wish to apply AI-driven predictive maintenance techniques in semiconductor manufacturing to enhance production efficiency and reduce unexpected equipment failures.

Upon completing this training, participants will be able to:

• Deploy AI models to predict equipment failures in semiconductor manufacturing.
• Analyze maintenance data to uncover patterns and trends that signal potential issues.
• Integrate AI-driven predictive maintenance into current manufacturing workflows.
• Decrease downtime and maintenance costs via proactive equipment management.

This instructor-led, live training in Braga (online or onsite) is aimed at beginner-level professionals who wish to understand and apply AI technologies within the semiconductor manufacturing industry.

By the end of this training, participants will be able to:

• Understand the basic principles of AI and how they apply to semiconductor manufacturing.
• Identify areas within semiconductor manufacturing where AI can be effectively implemented.
• Utilize AI tools and techniques to enhance production efficiency and quality control.
• Implement basic AI models to optimize manufacturing processes.

This instructor-led, live training in Braga (online or onsite) is aimed at intermediate-level data analysts who wish to learn how to use RapidMiner to estimate and project values and utilise analytical tools for time series forecasting.

By the end of this training, participants will be able to:

• Apply the CRISP-DM methodology, select suitable machine learning algorithms, and improve model construction and performance.
• Utilise RapidMiner to estimate and project values, employing analytical tools for time series forecasting.

This instructor-led, live training in Braga (online or onsite) provides an introduction into the field of pattern recognition and machine learning. It touches on practical applications in statistics, computer science, signal processing, computer vision, data mining, and bioinformatics.

By the end of this training, participants will be able to:

• Apply core statistical methods to pattern recognition.
• Use key models like neural networks and kernel methods for data analysis.
• Implement advanced techniques for complex problem-solving.
• Improve prediction accuracy by combining different models.

This instructor-led, live training in Braga (online or on-site) is aimed at data scientists and analysts who wish to automate, evaluate, and manage predictive models using DataRobot's machine learning capabilities.

By the end of this training, participants will be able to:

• Load datasets into DataRobot to analyze, assess, and perform quality checks on data.
• Build and train models to identify key variables and achieve prediction targets.
• Interpret models to generate valuable insights that support business decision-making.
• Monitor and manage models to maintain optimal prediction performance.

This instructor-led live training in Braga (online or onsite) is aimed at data scientists, data analysts, and developers who wish to explore AutoML products and features to create and deploy custom ML training models with minimal effort.

By the end of this training, participants will be able to:

• Explore the AutoML product range to implement various services for different data types.
• Prepare and label datasets to build custom ML models.
• Train and manage models to deliver accurate and fair machine learning models.
• Make predictions using trained models to address business objectives and needs.

This instructor-led, live training (online or onsite) targets developers who wish to employ Google’s ML Kit to develop machine learning models optimized for mobile processing.

Upon completion of this training, participants will be capable of:

• Configuring the necessary development environment to initiate the creation of machine learning features for mobile apps.
• Integrating new machine learning technologies into Android and iOS apps using ML Kit APIs.
• Enhancing and optimizing existing apps through the ML Kit SDK for on-device processing and deployment.