This hands-on training program combines Microsoft Azure Cloud with Artificial Intelligence (AI) and Machine Learning (ML), enabling learners to design, deploy, and manage AI-driven solutions. The course covers Azure AI services, machine learning models, generative AI, and cloud automation, preparing professionals for real-world AI implementations.
EkasCloud provides flexible training to all it's student. Here is our training schedule. Incase you find these timings difficult, please let us know. We will try to arrange appropriate timings based on your Convenience.
| 01-04-2025 | Tuesday (Monday - Friday) Weekdays Regular | 08:00 AM (IST) (Class 1Hr - 1:30Hrs) / Per Session |
| 03-04-2025 | Thursday (Monday - Friday) Weekdays Regular | 08:00 AM (IST) (Class 1Hr - 1:30Hrs) / Per Session |
| 05-04-2025 | Saturday (Monday - Friday) Weekdays Regular | 08:00 AM (IST) (Class 1Hr - 1:30Hrs) / Per Session |
| 06-04-2025 | Sunday (Monday - Friday) Weekdays Regular | 08:00 AM (IST) (Class 1Hr - 1:30Hrs) / Per Session |
This hands-on training program combines Microsoft Azure Cloud with Artificial Intelligence (AI) and Machine Learning (ML), enabling learners to design, deploy, and manage AI-driven solutions. The course covers Azure AI services, machine learning models, generative AI, and cloud automation, preparing professionals for real-world AI implementations.
✅ IT Professionals & Cloud Engineers
✅ AI & Data Science Enthusiasts
✅ Solution Architects & DevOps Engineers
✅ Developers & System Administrators
✅ Business Leaders Exploring AI in Cloud
✔ Hands-On Learning – Real-world Azure AI projects & labs.
✔ Industry-Relevant Skills – Master in-demand AI and cloud techniques.
✔ Expert-Led Training – Learn from certified Azure & AI professionals.
✔ Certification Readiness – Prepares you for Azure AI-900, DP-100 & AI Engineer certifications.
✔ Career Growth – Advance as an Azure AI Engineer, Cloud AI Specialist, or Solution Architect.
• We check your knowledge before we start the session.
• We build foundational topics first and core topics next.
• Theory classes with a real-time case study.
• Demo on every topic.
• You will learn how to design architecture diagrams for each service.
• Mock exam on every topic you understand.
• Exam Preparation
• Interview Preparation
4 Months Course 50% Theory 50% Lab Daily Homework 10 Real time Projects Unlimited Mock Exams Unlimited Mock Interview
✅ Module 1: Introduction to Azure Cloud & AI Ecosystem
✅ Module 2: Azure Compute, Storage & Networking Essentials
✅ Module 3: AI & Machine Learning on Azure
✅ Module 4: Generative AI & LLMs with Azure OpenAI
✅ Module 5: Serverless AI Applications with Azure Functions
✅ Module 6: MLOps & Automation in Azure
✅ Module 7: AI Security, Compliance & Cost Optimization
✅ Module 8: Capstone Project – Build an AI-driven Cloud Solution
Q: What if I miss a class?
A: We will stop the course for you because it is one-to-one or one-to-two students only.
Q: Will I get placement assistance?
A: Yes. You will get it once you are Certified.
Q: What if I have queries after I complete this course?
A: You can check our blogs or send your queries through social media like Facebook, Linkedin, Instagram, Twitter, and Youtube.
Q: How soon after signing up will I get access to the course?
A: Once you join the course. our Counselor Manager will book a slot with our trainer based on mutually available timings.
Q: Is the course material accessible to the students even after the course training is over?
A: Yes, you can access our course material. Not only material, but you can also watch short and sweet videos from our Youtube Channel.
Q: What is the average salary of a AZURE with AI Cloud professional?
A: $140,000
Q: How will this course help me pass the certification exam?
A: We provide separate Training for Exam and Interviews. In this Training will get more experience to pass Your Exam.
If a student want to take admission in any course he has to go with the following steps
Upon successful completion of the assessment, candidates receive a customized learning path, course schedule, and payment options. Candidates can finalize their enrollment by agreeing to the course structure and payment plan.
