Course Overview

AchuthTech Academy, Mysuru offers a professional Machine Learning Engineering Corporate Training program focused on developing, deploying, and managing machine learning models in real-world corporate environments. This course bridges the gap between data science and software engineering by teaching production-level ML systems, automation, and scalability.

What You Will Learn

• Introduction to Machine Learning Engineering
  • Role of an ML Engineer in Corporate IT
  • Difference between Data Scientist & ML Engineer
  • ML Lifecycle & MLOps Concepts
• Python for Machine Learning
  • Advanced Python Programming
  • NumPy, Pandas & Scikit-Learn
  • Data Preprocessing & Feature Engineering
• Core Machine Learning Algorithms
  • Linear & Logistic Regression
  • Decision Trees, Random Forest, XGBoost
  • SVM, KNN, Naive Bayes
  • Clustering (K-Means, DBSCAN)
  • Dimensionality Reduction (PCA)
• Deep Learning Basics
  • Neural Networks Fundamentals
  • ANN, CNN & RNN Overview
  • TensorFlow / PyTorch Introduction
• Model Training & Evaluation
  • Train-Test Split & Cross Validation
  • Performance Metrics
  • Hyperparameter Tuning
• Model Deployment
  • Model Serialization (Pickle, Joblib)
  • Flask / FastAPI for ML APIs
  • RESTful ML Services
• MLOps & Production Systems
  • Version Control with Git
  • CI/CD for ML Models
  • Model Monitoring & Retraining
  • Docker & Containerization Basics
• Cloud ML Engineering
  • Introduction to AWS / Azure / GCP ML Services
  • Cloud-Based Model Deployment
  • Scalable ML Pipelines
• Real-Time Corporate Projects
  • Customer Churn Prediction System
  • Fraud Detection ML Model
  • Recommendation Engine
  • ML API Deployment Project
  • End-to-End ML Pipeline Project

Training Features

• Hands-on Training with Production-Level ML Systems
• Real Corporate ML Use Cases
• MLOps-Oriented Training Approach
• Experienced ML Engineers as Trainers
• Interview Preparation & Resume Support

Who Can Join

• Data Scientists upgrading to ML Engineering
• Software Developers moving into AI
• Data Analysts aspiring to ML roles
• Final Year Students & Fresh Graduates

Prerequisites

• Basic Python knowledge
• Understanding of statistics & machine learning fundamentals
• Interest in production-level ML development

Course Duration

3 Months (Flexible Batches – Weekdays & Weekends)

Training Mode

• Classroom Training at AchuthTech Academy, Mysuru
• Online Live Instructor-Led Training
• Hands-on Practice with Real Corporate ML Systems

Career Opportunities

• Machine Learning Engineer
• AI Engineer
• MLOps Engineer
• Data Scientist (Engineering Focus)
• AI Software Developer

Why Choose AchuthTech Academy

• Corporate-Oriented ML Engineering Curriculum
• Real-Time Project Experience
• Industry Expert Trainers
• Affordable Fees with Premium Training Quality
• Placement Assistance & Career Mentoring

Certification

After successful completion, students will receive an Industry-Recognized Machine Learning Engineering Certification, validating their skills for corporate IT and AI-based organizations.