Alibaba Cloud Fundamentals Training Course

This instructor-led, live training in the UAE (online or onsite) is aimed at advanced-level professionals who wish to enhance their knowledge of machine learning models, improve their skills in hyperparameter tuning, and learn how to deploy models effectively using Google Colab.

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

• Implement advanced machine learning models using popular frameworks like Scikit-learn and TensorFlow.
• Optimize model performance through hyperparameter tuning.
• Deploy machine learning models in real-world applications using Google Colab.
• Collaborate and manage large-scale machine learning projects in Google Colab.

This instructor-led, live training in the UAE (online or onsite) targets intermediate-level data scientists and healthcare professionals seeking to harness AI for advanced healthcare applications using Google Colab.

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

• Implement AI models for healthcare using Google Colab.
• Use AI for predictive modeling in healthcare data.
• Analyze medical images with AI-driven techniques.
• Explore ethical considerations in AI-based healthcare solutions.

This instructor-led, live training in the UAE (onsite or remote) is designed for engineers looking to deploy and manage IoT devices on AWS.

By the end of this training, participants will be equipped to construct an IoT platform, encompassing the deployment and management of a backend, gateway, and devices on the AWS infrastructure.

This instructor-led, live training in the UAE (online or onsite) targets developers who aim to install, configure, and manage AWS IoT Greengrass capabilities to create applications for various devices.

By the end of this training, participants will be able to leverage AWS IoT Greengrass to build, deploy, manage, secure, and monitor applications on intelligent devices.

This instructor-led, live training in the UAE (onsite or remote) targets developers who want to utilize AWS Lambda to build and deploy services and applications to the cloud, without worrying about provisioning the execution environment (servers, VMs and containers, availability, scalability, storage, etc.).

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

• Configure AWS Lambda to execute a function.
• Understand FaaS (Functions as a Service) and the advantages of serverless development.
• Build, upload and execute AWS Lambda functions.
• Integrate Lambda functions with different event sources.
• Package, deploy, monitor and troubleshoot Lambda based applications.

This instructor-led, live training in the UAE (online or onsite) is aimed at intermediate-level data scientists and engineers who wish to use Google Colab and Apache Spark for big data processing and analytics.

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

• Set up a big data environment using Google Colab and Spark.
• Process and analyze large datasets efficiently with Apache Spark.
• Visualize big data in a collaborative environment.
• Integrate Apache Spark with cloud-based tools.

This instructor-led live training in the UAE (online or onsite) is targeted at beginner-level data scientists and IT professionals who intend to learn the basics of data science using Google Colab.

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

• Set up and navigate Google Colab.
• Write and execute basic Python code.
• Import and handle datasets.
• Create visualizations using Python libraries.

Google Colab Pro provides a cloud-based environment designed for scalable Python development, delivering high-performance GPUs, extended runtimes, and increased memory capacity to support intensive AI and data science tasks.

This instructor-led live training, available both online and onsite, is designed for intermediate-level Python users aiming to leverage Google Colab Pro for machine learning, data processing, and collaborative research within a robust notebook interface.

Upon completing this training, participants will be equipped to:

• Configure and manage cloud-based Python notebooks using Colab Pro.
• Utilize GPUs and TPUs to accelerate computational tasks.
• Optimize machine learning workflows by employing popular libraries such as TensorFlow, PyTorch, and Scikit-learn.
• Integrate with Google Drive and external data sources to facilitate collaborative projects.

Course Format

• Engaging lectures and interactive discussions.
• Ample opportunities for exercises and practical practice.
• Hands-on implementation within a live-lab environment.

Course Customization Options

• To request a tailored training session for this course, please contact us to make arrangements.

This instructor-led live training in the UAE (online or onsite) is designed for advanced professionals aiming to deepen their grasp of computer vision and explore TensorFlow’s capabilities for building advanced vision models using Google Colab.

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

• Build and train convolutional neural networks (CNNs) using TensorFlow.
• Leverage Google Colab for scalable and efficient cloud-based model development.
• Implement image preprocessing techniques for computer vision tasks.
• Deploy computer vision models for real-world applications.
• Use transfer learning to enhance the performance of CNN models.
• Visualize and interpret the results of image classification models.

This instructor-led, live training in the UAE (online or onsite) is aimed at intermediate-level data scientists and developers who wish to understand and apply deep learning techniques using the Google Colab environment.

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

• Set up and navigate Google Colab for deep learning projects.
• Understand the fundamentals of neural networks.
• Implement deep learning models using TensorFlow.
• Train and evaluate deep learning models.
• Utilize advanced features of TensorFlow for deep learning.

This instructor-led, live training in the UAE (online or onsite) is designed for advanced-level professionals aiming to deepen their understanding of DevOps methodologies and streamline development processes using AWS Cloud9.

Upon completion of this training, participants will be able to:

• Set up and configure AWS Cloud9 for DevOps workflows.
• Implement continuous integration and continuous delivery (CI/CD) pipelines.
• Automate testing, monitoring, and deployment processes using AWS Cloud9.
• Integrate AWS services such as Lambda, EC2, and S3 into DevOps workflows.
• Utilize source control systems like GitHub or GitLab within AWS Cloud9.

This live, instructor-led training in the UAE (online or onsite) targets intermediate-level professionals seeking to learn how to efficiently build, deploy, and maintain serverless applications on AWS Cloud9 and AWS Lambda.

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

• Understand the fundamentals of serverless architecture.
• Set up AWS Cloud9 for serverless application development.
• Develop, test, and deploy serverless applications using AWS Lambda.
• Integrate AWS Lambda with other AWS services such as API Gateway and S3.
• Optimize serverless applications for performance and cost efficiency.

This instructor-led live training, offered in the UAE (online or onsite), is designed for beginner-level data scientists eager to learn how to craft meaningful and visually compelling data representations.

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

• Configure and navigate Google Colab for data visualization purposes.
• Generate various types of plots using Matplotlib.
• Leverage Seaborn for advanced visualization techniques.
• Customize plots for better presentation and clarity.
• Interpret and present data effectively using visual tools.

Summary:

• Core concepts of IoT architecture and functionality
• Understanding 'Things,' 'Sensors,' and the internet, along with mapping these to business IoT functions
• The fundamentals of all IoT software components: hardware, firmware, middleware, cloud infrastructure, and mobile applications
• Key IoT functions including fleet management, data visualization, SaaS-based facility management and data visualization, alerting/alarm systems, sensor onboarding, 'thing' onboarding, and geo-fencing
• Foundations of IoT device-to-cloud communication using MQTT
• Integrating IoT devices with AWS via MQTT (AWS IoT Core)
• Linking AWS IoT Core with AWS Lambda functions for computation and data storage within DynamoDB
• Connecting Raspberry Pi devices to AWS IoT Core for basic data communication
• Practical, hands-on experience with Raspberry Pi and AWS IoT Core to construct a smart device
• Visualizing sensor data and enabling communication through a web interface

This instructor-led live training in the UAE (offered online or onsite) is tailored for intermediate-level data scientists and developers who aim to efficiently apply machine learning algorithms using the Google Colab environment.

By the conclusion of this training, participants will be capable of:

• Setting up and navigating Google Colab for machine learning projects.
• Understanding and applying various machine learning algorithms.
• Utilizing libraries like Scikit-learn to analyze and predict data.
• Implementing supervised and unsupervised learning models.
• Optimizing and evaluating machine learning models effectively.