Cloud GIS and Geospatial Services Training Course

Cloud GIS and Geospatial Services Training Course

This comprehensive training course is designed to equip participants with the essential knowledge and practical skills required to leverage the power of cloud computing for Geographic Information Systems (GIS) and geospatial services. Participants will gain a deep understanding of how cloud platforms can revolutionize geospatial data management, analysis, and dissemination, enabling more efficient, scalable, and accessible solutions. The course emphasizes hands-on learning, allowing participants to apply theoretical concepts to real-world scenarios.

The curriculum covers a wide array of topics, from the foundational principles of cloud computing and its relevance to GIS, through advanced concepts like big data geospatial analytics, real-time GIS, and secure cloud deployments. Participants will explore various cloud platforms, learn about data storage and processing in the cloud, develop and consume geospatial web services, and delve into cloud-based application development. Each module incorporates practical sessions to reinforce learning and build proficiency in using cloud-based geospatial tools and technologies.

Who should attend the training

  • GIS Professionals and Analysts
  • Geospatial Data Managers
  • Software Developers interested in Geospatial Applications
  • IT Professionals managing geospatial infrastructure
  • Researchers and Academicians
  • Anyone interested in leveraging cloud technology for geospatial data

Objectives of the training

  • Understand the fundamental concepts of cloud computing in the context of GIS.
  • Learn to manage and store geospatial data effectively in cloud environments.
  • Master cloud-based tools and services for geospatial analysis and processing.
  • Develop skills in publishing and consuming geospatial web services.
  • Gain proficiency in building and deploying cloud-based geospatial applications.
  • Explore advanced topics such as big data geospatial analytics and real-time GIS.
  • Understand security considerations and best practices for cloud GIS implementations.

Personal benefits

  • Enhanced career prospects in the rapidly growing field of cloud GIS.
  • Ability to design and implement scalable and efficient geospatial solutions.
  • Increased proficiency in cutting-edge cloud technologies relevant to GIS.
  • Opportunity to network with peers and industry experts.
  • Practical skills that can be immediately applied to real-world projects.

Organizational benefits

  • Improved efficiency and cost-effectiveness in geospatial operations.
  • Enhanced capabilities for managing and analyzing large geospatial datasets.
  • Increased agility in deploying and scaling geospatial applications.
  • Better data accessibility and collaboration across teams.
  • Reduced IT infrastructure overheads and maintenance.

Training methodology

  • Interactive lectures and presentations
  • Hands-on practical exercises and labs
  • Case studies and real-world examples
  • Group discussions and collaborative problem-solving
  • Demonstrations of cloud GIS platforms and tools

Trainer Experience

Our trainers are seasoned professionals with extensive experience in both GIS and cloud computing technologies. They possess deep theoretical knowledge combined with practical expertise in designing, implementing, and managing cloud-based geospatial solutions for a variety of industries. Our instructors are passionate about sharing their knowledge and committed to providing a dynamic and engaging learning environment. They regularly contribute to open-source projects, participate in industry conferences, and stay abreast of the latest advancements in cloud GIS.

Quality Statement

We are committed to delivering high-quality training programs that meet the evolving needs of the geospatial industry. Our courses are meticulously designed, regularly updated, and delivered by expert instructors to ensure participants acquire relevant and actionable skills. We strive to create an immersive and supportive learning environment that fosters understanding, encourages innovation, and empowers individuals and organizations to excel in the field of Cloud GIS.

Tailor-made courses

In addition to our standard offerings, we also provide tailor-made training courses designed to meet the specific requirements of your organization. We can customize the content, duration, and delivery method to align with your team's unique goals and challenges, ensuring a highly relevant and impactful learning experience.

 

Course Duration: 5 days

Training fee: USD 1300

Module 1: Introduction to Cloud GIS and Geospatial Services

  • Understanding GIS and its evolution
  • Introduction to Cloud Computing concepts and models (IaaS, PaaS, SaaS)
  • Benefits and challenges of Cloud GIS
  • Key cloud service providers for geospatial (AWS, Azure, Google Cloud)
  • Overview of the Cloud GIS ecosystem
  • Practical session: Exploring major cloud provider GIS offerings

Module 2: Cloud Computing Fundamentals for GIS

  • Cloud architecture and components relevant to GIS
  • Virtualization and containerization (Docker, Kubernetes)
  • Serverless computing for geospatial workloads
  • Cloud networking and security basics
  • Cost management and optimization in the cloud
  • Practical session: Setting up a basic cloud environment for GIS

Module 3: Geospatial Data Management in the Cloud

  • Cloud storage options for geospatial data (object storage, block storage, file storage)
  • Geospatial databases in the cloud (PostGIS on RDS, Azure SQL Database, Google Cloud SQL)
  • Data ingestion and migration strategies to the cloud
  • Managing large-scale geospatial datasets in the cloud
  • Data governance and compliance for cloud-based geospatial data
  • Practical session: Uploading and managing geospatial data in cloud storage

Module 4: Geospatial Analysis and Processing in the Cloud

  • Leveraging cloud-based processing services for GIS (e.g., AWS Sagemaker, Azure Machine Learning, Google AI Platform)
  • Distributed processing frameworks for geospatial data (e.g., Apache Spark, Dask)
  • Geospatial libraries and tools for cloud environments (GDAL/OGR, Fiona, Shapely)
  • Image processing and remote sensing in the cloud
  • Big spatial data analytics workflows
  • Practical session: Performing basic geospatial analysis using cloud computing resources

Module 5: Publishing and Consuming Geospatial Web Services

  • Understanding OGC standards for web services (WMS, WFS, WPS, WMTS)
  • Publishing geospatial data as web services on cloud platforms (e.g., ArcGIS Online, GeoServer on EC2, QGIS Server)
  • Consuming and integrating geospatial web services in applications
  • API design for geospatial services
  • Authentication and authorization for web services
  • Practical session: Publishing a geospatial web service from cloud data

Module 6: Cloud-based Geospatial Application Development

  • Developing web mapping applications using cloud APIs and SDKs (e.g., ArcGIS API for JavaScript, Leaflet, OpenLayers)
  • Serverless functions for geospatial tasks (AWS Lambda, Azure Functions, Google Cloud Functions)
  • Integrating third-party geospatial services
  • Front-end and back-end development for cloud GIS applications
  • Deployment strategies for cloud-native geospatial applications
  • Practical session: Building a simple cloud-based web mapping application

Module 7: Big Data Geospatial Analytics in the Cloud

  • Introduction to big geospatial data challenges
  • Architectures for big data geospatial processing (Hadoop, Spark)
  • Geospatial data lakes and data warehousing in the cloud
  • Advanced analytics techniques for large geospatial datasets
  • Real-world case studies of big geospatial data applications
  • Practical session: Running a distributed geospatial processing job on a large dataset

Module 8: Real-time GIS and IoT Integration

  • Concepts of real-time geospatial data processing
  • Integrating IoT data with GIS in the cloud
  • Streaming data pipelines for geospatial applications
  • Real-time spatial analysis and visualization
  • Use cases for real-time GIS (e.g., fleet tracking, environmental monitoring)
  • Practical session: Setting up a real-time data stream for geospatial visualization

Module 9: Security and Best Practices in Cloud GIS

  • Cloud security fundamentals and shared responsibility model
  • Identity and access management (IAM) for geospatial resources
  • Data encryption at rest and in transit
  • Compliance and regulatory considerations for geospatial data in the cloud
  • Auditing and logging for cloud GIS environments
  • Practical session: Implementing security best practices for a cloud GIS deployment

Module 10: Future Trends and Advanced Cloud GIS Applications

  • Artificial Intelligence and Machine Learning in Cloud GIS
  • Edge computing and its relevance to geospatial
  • Blockchain and distributed ledger technologies for geospatial
  • Emerging cloud platforms and services for GIS
  • Industry-specific applications of advanced Cloud GIS
  • Practical session: Exploring a cutting-edge cloud GIS application or tool

Requirements:

·       Participants should be reasonably proficient in English.

·       Applicants must live up to Armstrong Global Institute admission criteria.

Terms and Conditions

1. Discounts: Organizations sponsoring Four Participants will have the 5th attend Free

2. What is catered for by the Course Fees: Fees cater for all requirements for the training – Learning materials, Lunches, Teas, Snacks and Certification. All participants will additionally cater for their travel and accommodation expenses, visa application, insurance, and other personal expenses.

3. Certificate Awarded: Participants are awarded Certificates of Participation at the end of the training.

4. The program content shown here is for guidance purposes only. Our continuous course improvement process may lead to changes in topics and course structure.

5. Approval of Course: Our Programs are NITA Approved. Participating organizations can therefore claim reimbursement on fees paid in accordance with NITA Rules.

Booking for Training

Simply send an email to the Training Officer on training@armstrongglobalinstitute.com and we will send you a registration form. We advise you to book early to avoid missing a seat to this training.

Or call us on +254720272325 / +254725012095 / +254724452588

Payment Options

We provide 3 payment options, choose one for your convenience, and kindly make payments at least 5 days before the Training start date to reserve your seat:

1. Groups of 5 People and Above – Cheque Payments to: Armstrong Global Training & Development Center Limited should be paid in advance, 5 days to the training.

2. Invoice: We can send a bill directly to you or your company.

3. Deposit directly into Bank Account (Account details provided upon request)

Cancellation Policy

1. Payment for all courses includes a registration fee, which is non-refundable, and equals 15% of the total sum of the course fee.

2. Participants may cancel attendance 14 days or more prior to the training commencement date.

3. No refunds will be made 14 days or less before the training commencement date. However, participants who are unable to attend may opt to attend a similar training course at a later date or send a substitute participant provided the participation criteria have been met.

Tailor Made Courses

This training course can also be customized for your institution upon request for a minimum of 5 participants. You can have it conducted at our Training Centre or at a convenient location. For further inquiries, please contact us on Tel: +254720272325 / +254725012095 / +254724452588 or Email training@armstrongglobalinstitute.com

Accommodation and Airport Transfer

Accommodation and Airport Transfer is arranged upon request and at extra cost. For reservations contact the Training Officer on Email: training@armstrongglobalinstitute.com or on Tel: +254720272325 / +254725012095 / +254724452588

 

Instructor-led Training Schedule

Course Dates Venue Fees Enroll
Sep 22 - Sep 26 2025 Nairobi $1,300
Sep 08 - Sep 12 2025 Kampala $1,300
Oct 20 - Oct 24 2025 Johannesburg $1,300
Oct 27 - Oct 31 2025 Mombasa $1,300
Sep 29 - Oct 03 2025 Naivasha $1,300
Sep 22 - Sep 26 2025 Cape Town $1,300
Oct 20 - Oct 24 2025 Nakuru $1,300
Sep 15 - Sep 19 2025 Arusha $1,300
Sep 15 - Sep 19 2025 Nanyuki $1,300
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