- Personalized 1 to 1 Interactive Program - 99 $ /Hour
- Classroom training - Online Interactive with the batch size of 15 to 20 People
This “Cloud Computing with Microsoft , AWZ & Google” course is designed to equip professionals with the comprehensive knowledge and hands-on experience needed to master cloud computing platforms: Microsoft Azure, Amazon Web Services (AWS), and Google Cloud Platform (GCP). Tailored specifically for individuals involved in data science, data engineering, and business analytics, the course features practical labs, real-world examples, and a curriculum aligned with the latest industry needs and certification guidelines.
If you're looking to enroll in a course that covers cloud computing across Microsoft Azure, AWS, and Google Cloud, then you'll be making a strategic addition to your skill set as a Data Scientist. This course will expand your toolbox for data analysis, predictive modeling, and data visualization by introducing you to cloud infrastructure and services that can scale these activities.
If you are really interested in the career, then join this course offered by Team Academy, Doha, Qatar.
Course duration : 2 Months
Training Mode : Online live interactive – Instructor led training program | Personalized 1 to 1 Interactive Program
Frequency : Flexi pass to attend for the next 120 days in any of the schedule.
Our Stats: 150 + Batches Completed | 1500 + Certified professional
A Bachelor's degree in IT or related fields serves as the key eligibility for joining a cloud computing course. No strict prerequisite for cloud computing is set, making the course approachable for varied proficiency levels. Coding knowledge is a beneficial cloud computing course prerequisite but not a barrier. The course will comprehensively cover Microsoft Azure, AWS, and Google Cloud Platform.
Structured into digestible modules, each focusing on essential topics ranging from fundamentals to advanced configurations.
Practical exercises in setting up cloud environments, utilizing data storage solutions, and deploying machine learning models.
Real-world applications, especially relevant to data science like predictive maintenance and customer segmentation.
Highlights strengths, weaknesses, and ideal use-cases for each cloud provider.
Each module will prepare you for the key concepts needed for cloud certifications from Microsoft, AWS, and Google.
Live sessions for query resolutions, particularly focused on challenges like data quality, algorithmic bias, and scalability.
Course material is updated regularly to include the latest features and services launched by each cloud provider.
Gain a well-rounded understanding of the cloud ecosystem, an essential skill for data science professionals.
Understanding of cloud infrastructure can be a significant career accelerator and opens up roles like Cloud Engineer or Data Engineer.
Learning how to choose the right cloud services can result in substantial cost savings for projects
Acquire the skills to scale your data projects more efficiently.
Apply cloud-based analytics and machine learning services for better decision-making.
Opportunity to engage with professionals from diverse roles, including business analysts, data engineers, and executives, enhancing your interdisciplinary communication skills.
Module 1: Introduction to Cloud Computing
1.1 Definition and Overview
1.2 Deployment Models: Public, Private, Hybrid
1.3 Service Models: IaaS, PaaS, SaaS
Module 2: Microsoft Azure
2.1 Azure Architecture
2.2 Virtual Machines and Azure Resource Manager
2.3 Azure Data Storage Solutions
2.4 Azure ML for Predictive Modeling
Module 3: AWS (Amazon Web Services)
3.1 AWS Architecture
3.2 EC2 Instances
3.3 AWS S3 for Data Storage
3.4 AWS SageMaker for Machine Learning
Module 4: Google Cloud Platform (GCP)
4.1 GCP Infrastructure
4.2 Google Compute Engine
4.3 Google Cloud Storage
4.4 Google AutoML and Cloud ML Engine
Module 5: Comparative Analysis
5.1 Pricing Models
5.2 Scalability and Limitations
5.3 Suitable Scenarios for Each Platform
Module 6: Case Studies and Best Practices
6.1 Customer Segmentation using cloud-based ML services
6.2 Predictive Maintenance using serverless architectures
Module 7: Future Trends
7.1 Quantum Computing in the cloud
7.2 Edge Computing
Q : When does the workshop start and what are the timings?
A : You can get all the details related to the timings and dates of the workshop will be send to your E-Mail Id.
Q : Will this be live or pre-recorded?
A : It's going to be a completely live session
Q : I made the payment but didn't receive any confirmation email.
A : Write to info@teamacademy.net and our awesome support team will solve your queries in the fastest time possible.
Q : What experience with Project Management do I need to have?
A : An open mind with a learning attitude is good enough. Depending on your level of formal education, the project Management requires a set number of hours of experience.
Q : Since the workshop is live, will you be sharing recordings?
A : Yes , we will be sharing recordings. Since it's a live workshop, it's expected that each participant will attend the workshop live. Also, recordings of a live session are just boring.
Q : Can I get a refund?
A : No. We don't provide refunds in any case. If you are not sure about the workshop, check out the testimonials, read more about the trainer and take an informed decision. In case you miss out on attending the live workshop, we can move you to the next batch only ONCE.
Q : When can I receive the bonuses?
A : After the workshop is done, you will receive all the bonuses within 48 hours.
Q : Will I get a certificate after completion?
A : Yes, you will receive a certificate of completion if you finish the entire workshop.
