4. Get prepared for Microsoft/Google/AWS Certification exams
Our structured program has the right balance of theory and practical sessions. During the
program students get an in depth information about practical techniques of preparing
for the exam.
Course completion certificate from Microsoft/Google/AWS
Our structured program has the right balance of theory and practical sessions. During
the program students get an in depth information about practical techniques of
preparing for the exam.
Live business cases & application oriented approach
TDTL is a good platform for getting the right knowledge & hands-on experience. In
addition to lectures we provide demonstrations and exercises to the participants. Be it
case studies or every day assessments.
Microsoft Official Course ware for life time access
We at The DataTech Labs believe in creating a value driven approach. All our participants
will have access to the Microsoft Official Courseware for a life time.
Hands-On Sessions with dedicated time for practice
Our USP is providing hands on sessions with dedicated time for practise. This helps our
participants strengthen their conceptual knowledge and improve application skills.
Exclusive access to all courses post the training
The learning portal gives exclusive access to all our participants post the training gets over.
Exclusive question bank and post training support for QnA
The TDTL exclusive question bank repository has questions with supporting answers to
help participants work on improving their knowledge.
5.
6. Module 3: Describe core Azure services
In this module, you learn about core Azure services like Azure database, Azure compute, Azure
storage, and Azure Networking.
Lessons
• Explore Azure database and analytics services
• Explore Azure compute services
• Explore Azure Storage services
• Explore Azure networking services
After completing this module, students will be able:
• Understand the services available in Azure including compute, network, storage, and
databases.
• Identify virtualization services such as Azure VMs, Azure Container Instances, and Azure
Kubernetes.
• Compare Azure's database services such as Azure Cosmos DB, Azure SQL, and Azure Database
for MySQL.
• Examine Azure networking resources such as Virtual Networks, VPN Gateways, and Azure
ExpressRoute.
• Summarize Azure storage services such Azure Blob Storage, Azure Disk Storage, and Azure File
Storage.
Module 1: Understanding the Cloud
Lessons
• Understanding cloud principles and delivery mechanisms
• Understanding cloud security requirements and policies
• Understanding how a cloud service stays pp to date and available
• Understanding the different types of cloud services?
Module 2: Describe core Azure concepts
In this module, you'll take an entry level end-to-end look at Azure and its capabilities, which will
provide you with a solid foundation for completing the available modules for Azure Fundamentals.
Lessons
• Introduction to Azure fundamentals
• Discuss Azure fundamental concepts
• Describe core Azure architectural components
After completing this module, students will be able:
• Understand the benefits of cloud computing in Azure and how it can save you time and money.
• Explain concepts such as high availability, scalability, elasticity, agility, and disaster recovery.
• Describe core Azure architecture components such as subscriptions, management groups, and
resources.
• Summarize geographic distribution concepts such as Azure regions, region pairs, and availability
zones.
7. Module 4: Describe core solutions and management tools on Azure
In this module, you'll learn about AI machine learning, Azure DevOps, monitoring
fundamentals, management fundamentals, serverless computing fundamentals. and
IoT fundamentals.
Lessons
• Choose the best AI service for your needs
• Choose the best tools to help organizations build better solutions
• Choose the best monitoring service for visibility, insight, and outage mitigation
• Choose the best tools for managing and configuring your Azure environment
• Choose the best Azure serverless technology for your business scenario
• Choose the best Azure IoT service for your application
After completing this module, students will be able:
• Choose the correct Azure AI service to address different kinds of business challenges.
• Choose the best software development process tools and services for a given business scenario.
• Choose the correct cloud monitoring service to address different kinds of business challenges.
• Choose the correct Azure management tool to address different kinds of technical needs.
• Choose the right serverless computing technology for your business scenario.
• Choose the best Azure IoT service for a given business scenario.
Module 5: AWS introduction and history
• AWS Global Infrastructure
• Demonstration: AWS Management Console
Module 6: Compute, network and storage services
• Amazon Elastic Compute Cloud (EC2)
• Amazon Virtual Private Cloud (VPC)
• Amazon Simple Storage Service (S3)
• Amazon Elastic Block Store (EBS)
• Demonstration: Amazon Simple Storage Service (S3)
• Hands-on lab: Build your VPC and launch a web server
Module 7: Introducing Google Cloud
• Explain the advantages of Google Cloud.
• Define the components of Google's network infrastructure, including: Points of presence, data centers,
regions, and zones.
• Understand the difference between Infrastructure-as-a-Service (IaaS) and Platform-as-a-Service (PaaS).
Module 8: Getting Started with Google Cloud
• Identify the purpose of projects on Google Cloud.
• Understand the purpose of and use cases for Identity and Access Management.
• List the methods of interacting with Google Cloud.
• Lab: Getting Started with Cloud Marketplace.
Module 9: Virtual Machines in the Cloud
• Identify the purpose of and use cases for Google Compute Engine.
• Understand the basics of networking in Google Cloud.
• Lab: Getting Started with Google Compute Engine.
8. Module 10: Storage in the Cloud
• Understand the purpose of and use cases for: Cloud Storage, Cloud Bigtable, Cloud SQL, Cloud Spanner, and
Firestore.
• Learn how to choose between the various storage options on Google Cloud.
• Lab: Getting Started with Cloud Storage and Cloud SQL.
9.
10. LANGUAGES AND TOOLS
Python ML library
Scikit-learn
NLP library NLTK Keras
Pandas
Numpy
Scipy
Matplotlib
TensorFlow
THE DATA TECH LABS SERVING IN
LEADING COMPANIES
Python
