Cloud AI Applications | Dakshapath - AWS & GCP Machine Learning Certification

Cloud AI Applications Certification

Cloud AI Applications certification cover

Certification

Cloud AI Applications: AI-102, AWS ML Specialty, GCP ML Engineer

By Dakshapath Team
Starts: 08/11/2025
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.

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.

Benefits after completing the course

Exam-ready for AI-102 (Azure), AWS ML Specialty, and GCP ML Engineer.
Portfolio-worthy capstone projects demonstrating end-to-end cloud AI implementation.
Hands-on experience with cognitive services, MLOps, and model deployment.
Mentor-led guidance, timely Q&A Sessions, and community support.
Career boost across AI Engineer, ML Engineer, and Cloud AI roles.

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

Our AI Certification program follows a structured weekend schedule designed for working professionals. Each session combines theory with hands-on labs, ensuring you can immediately apply what you learn in real-world scenarios.

Schedule

Duration: 3 Months
Sessions: Every Saturday & Sunday, 6pm - 8pm
Start Date: November 08, 2025
Capstone Project: Final 2 weeks

This course is designed for technical professionals who want to build production-ready AI solutions. Whether you're transitioning into AI roles or enhancing your current expertise, our program provides the practical skills and industry certifications employers are looking for.

Who is this course for?

Software Engineers (basic python or Java or C++ knowledge is enough) and Developers looking to transition into AI/ML roles
Data Scientists and Analysts aiming to productionize ML on Azure/AWS/GCP
DevOps/Cloud Engineers who want to build and operate ML workloads
Students and Freshers seeking job-oriented training with certifications
Working Professionals upskilling to AI-augmented product development