GOVERNMENT-CERTIFIED COURSE
34% OFF
Cloud Computing for Data & AI Systems Professional (SDT-CDAI)
Builds cloud platform and infrastructure fundamentals for hosting data and AI workloads — an increasingly required skill across BSc specialisations. Tools & Platforms: AWS/Azure/GCP (free-tier), Docker basics
₹38,000
₹25,080
Save ₹12,920
6 Months
Duration
Live +
Recorded
Max 30
Students
Govt.
Certified
Empowering learners with AI skills
to build a smarter tomorrow.
to build a smarter tomorrow.
Learning Outcomes
- Deploy a web application or ML model on a cloud platform's free tier
- Configure basic cloud storage, compute, and access-control settings
- Document a cloud architecture and deployment process clearly
Course Objectives
- Build foundational understanding of cloud computing models and major providers
- Develop hands-on skills in deploying applications and models on cloud infrastructure
- Understand basic cloud security and cost-management practices
Applications in Industry
- Cloud support and junior cloud engineer entry-level roles
- Hosting and scaling data/AI projects in any technical role
- Foundation for cloud certification pathways (AWS/Azure/GCP associate-level)
Course Content — Modules
- Cloud computing fundamentals: IaaS, PaaS, SaaS models
- Overview of major cloud providers: AWS, Azure, GCP
- Setting up a free-tier cloud account and navigating the console
- Cloud storage fundamentals (S3/Blob storage basics)
- Introduction to virtual machines and compute instances
- Foundations Recap & Concept Check
- Deploying a simple web application on a cloud VM
- Cloud storage and database basics (managed databases overview)
- Introduction to containers and Docker fundamentals
- Hosting a machine learning model on cloud infrastructure
- Cloud cost management and free-tier optimisation
- Basic cloud security concepts: IAM, access control
- Skill Consolidation Workshop
- Applied Mini-Exercise / Practice Lab
- Case Study: Migrating a local data pipeline to the cloud
- Case Study: Hosting a machine learning model as a cloud API
- Cross-Case Synthesis & Group Presentation
- Capstone Kickoff & Problem Scoping
- Capstone Development — Core Build (Cloud Computing for Data & AI Systems Professional)
- Capstone Review & Mentor Feedback
- Capstone Finalisation & Presentation
- Resume, Portfolio & LinkedIn Refresh
- Mock Interview Rounds & Feedback
- Capstone Presentation — Mock Panel Pitch
No certificate samples available yet.
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Course Delivery Format
Duration6 months (100 hours total)
ModeOnline Live Classes + Recorded Lectures
ScheduleWeekend & Weekday Evening Batches
Batch SizeMaximum 30 students
Prerequisites
- Laptop/Desktop with stable internet connection
- Basic English proficiency
- Willingness to dedicate 4–5 hours weekly
- No prior technical knowledge required
Investment & Scholarships
Course Fee
₹38,000
₹25,080
EMI OptionsAvailable
ScholarshipsMerit-based & Need-based
Early Bird15% Discount
Certification
- Course Completion Certificate
- Industry-recognized certifications
- LinkedIn badge
- Project completion certificates
Placement Support
- Resume building & LinkedIn optimization
- Mock interviews & soft skills training
- Access to job portal with 200+ partners
- Networking sessions with industry professionals
- Lifetime placement assistance
Learning Support
- 24/7 access to recorded lectures
- Doubt clearing sessions twice weekly
- Dedicated mentor support
- Peer learning community
- Monthly industry expert guest lectures