Cloud AI Applications: AI-102, AWS ML Specialty, GCP ML Engineer
-
By
Dakshapath Team
- Starts: 18/10/2025
- 3 Months | Sat-Sun 6pm-8pm
Course Description
This 3-month intensive certification program prepares you for Microsoft AI-102, AWS Machine Learning Specialty, and Google Cloud Professional Machine Learning Engineer certifications. Each weekend, you’ll get hands-on training, real-world projects, and expert guidance. The course concludes with a capstone project to apply your skills in a practical cloud AI application.
Schedule
Duration: 3 Months
Sessions: Every Saturday & Sunday, 6pm - 8pm
Start Date: October 18, 2025
Capstone Project: Final 2 weeks
What you'll learn in this course?
Designing and implementing AI solutions on Azure (AI-102)
Building, training, and deploying ML models on AWS
Developing and managing ML workflows on Google Cloud
End-to-end cloud AI project development
By the end of this course, you will be ready to clear all three certifications and build real-world AI solutions on the cloud.
Course Curriculum
Detailed modules covering Microsoft AI-102, AWS Machine Learning Specialty, and Google Cloud Professional Machine Learning Engineer certifications, plus a capstone project.
- Introduction to Azure AI and Cognitive Services
- Natural Language Processing (NLP) on Azure
- Computer Vision and Speech Services
- Conversational AI and Bots
- Security, Compliance, and Responsible AI
- Exam Preparation & Practice
- Overview of AWS ML Services (SageMaker, Rekognition, Comprehend, etc.)
- Data Engineering for ML on AWS
- Model Training, Tuning, and Deployment
- Security and Monitoring in AWS ML
- Exam Preparation & Practice
- Google Cloud AI Platform Overview
- Data Preparation and Feature Engineering
- Model Development and Deployment
- ML Pipelines and Automation
- Exam Preparation & Practice
- Project Planning and Design
- Building a Cloud-based AI Application
- Deployment on Azure, AWS, or GCP
- Presentation and Evaluation
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