Course Details

Courses Descriptions

📘 Course Description

From zero to job-ready, this course is designed with a project-driven and hands-on approach to ensure real-world exposure. You'll master cloud platforms like AWS & Azure, automate workflows with DevSecOps, create intelligent models using Machine Learning, and crack interviews with DSA in Python.

By the end of the program, you'll have worked on real-world projects, built a strong portfolio, and gained the confidence to tackle tech interviews and secure top-paying roles in tech. 

📚 Module-Wise Curriculum (in Sequence)

📦 Module 1: Cloud Computing with AWS

Duration: 1.5 Months | 24 Classes (48 Hours)

• AWS Core Services: EC2, S3, IAM, RDS, EBS

• Networking: VPC, Route 53, Load Balancer

• Serverless: Lambda, API Gateway, DynamoDB

• Monitoring: CloudWatch, CloudTrail, AWS Config

• AWS DevOps Tools: CodeBuild, CodeDeploy, CodePipeline

• Real-Time Project: Host a Scalable Web App on AWS

• Certification Prep: AWS Cloud Practitioner / Architect Associate

⚙️ Module 2: DevOps + DevSecOps Tools

Duration: 1.5 Months | 24 Classes (48 Hours)

• DevOps Overview & Lifecycle

• Version Control: Git & GitHub

• CI/CD: Jenkins, Maven

• Code Quality: SonarQube

• Project Management: Jira

• Configuration Management: Ansible

• Containerization: Docker

• Orchestration: Kubernetes

• IaC: Terraform

• Security: SAST/DAST Integration

• Real-Time Project: Secure CI/CD Pipeline with GitHub & Jenkins

🤖 Module 3: Machine Learning with Python

Duration: 1 Month | 16 Classes (32 Hours)

• Python for ML: Numpy, Pandas, Matplotlib

• Supervised & Unsupervised Learning

• Classification, Regression, Clustering

• Model Evaluation, Tuning

• ML Projects: Sentiment Analysis, Stock Prediction

• Deployment of ML Models (Optional: Flask + AWS/Azure)

🐍 Module 4: Python + Data Structures & Algorithms (DSA)

Duration: 1 Month | 16 Classes (32 Hours)

• Python Programming Basics & OOPs

• DSA Concepts: Arrays, Strings, Linked Lists

• Stacks, Queues, Trees, Graphs

• Recursion, Sorting, Searching

• Time/Space Complexity

• Problem Solving Practice (Leetcode-style)

• Interview Preparation & Coding Challenges

💼 Total Training Hours: 160 Hours (80 Classes)

• Month 1: AWS (48 hrs)

• Month 2: AWS + DevOps

• Month 3: DevOps (48 hrs)

• Month 4: Machine Learning (32 hrs)

• Month 5: Python + DSA (32 hrs) 

💼 Why Choose MasterTech Pro?

✅ All-in-One Course: Cloud, DevOps, ML & DSA
✅ Real-Time Projects + Hands-On Practice
✅ Interview-Focused Coding Preparation
✅ Learn Industry Tools (Jenkins, Git, Docker, Jira & more)
✅ Globally Recognized Certifications.