TransformAIx

Machine Learning Programs

Comprehensive ML Training from Fundamentals to Deployment

Duration

5-10 Days (Flexible)

Format

Hands-On & Project-Based

Target Audience

Engineers & Data Scientists

Level

Beginner to Advanced

About This Program

Our Machine Learning Programs offer comprehensive, hands-on training that takes you from foundational concepts to advanced implementation and deployment. Whether you're new to ML or looking to deepen your expertise, our flexible curriculum covers supervised and unsupervised learning, deep learning, neural networks, computer vision, NLP, and MLOps. You'll gain practical experience with industry-standard tools and frameworks while building real-world projects that you can showcase.

        Key Learning Outcomes
        Master ML algorithms: regression, classification, clustering, and more
Build and train neural networks with TensorFlow/PyTorch
Implement computer vision and NLP solutions
Design end-to-end ML pipelines from data to deployment
Apply MLOps best practices for production systems
Understand model evaluation, optimization, and tuning

    

Who Should Attend

Software Engineers
Data Scientists & Analysts
Data Engineers
ML Engineers

Research Scientists
Product Managers (Technical)
Quantitative Analysts
Recent Graduates/Career Switchers

Page 2

Module 1: ML Fundamentals & Classical Algorithms

Python for ML: NumPy, Pandas, Scikit-learn essentials
Supervised learning: linear/logistic regression, decision trees, ensembles
Unsupervised learning: clustering (K-means, DBSCAN), dimensionality reduction (PCA, t-SNE)
Model evaluation: cross-validation, metrics, bias-variance tradeoff
Feature engineering and data preprocessing techniques

Module 2: Deep Learning & Neural Networks

Neural network fundamentals: perceptrons, activation functions, backpropagation
Deep learning frameworks: TensorFlow and PyTorch
CNNs for computer vision: image classification, object detection, segmentation
RNNs and LSTMs for sequence modeling and time series
Transfer learning and pre-trained models

Module 3: Advanced ML & Specialized Topics

Natural Language Processing: text classification, embeddings, transformers
Recommender systems and collaborative filtering
Time series forecasting and anomaly detection
Reinforcement learning basics
Model interpretability and explainability (SHAP, LIME)

Module 4: MLOps & Production Deployment

ML pipeline design: data versioning, experiment tracking
Model serving and deployment strategies (Docker, Kubernetes, cloud)
Monitoring ML models in production
CI/CD for machine learning
Capstone project: end-to-end ML solution

Page 3

Comprehensive Curriculum: From basics to advanced topics
Hands-On Projects: Build 10+ real-world ML applications
Flexible Pacing: Choose intensity that fits your schedule
Industry Datasets: Work with production-scale data

Expert Instructors: Practitioners from top tech companies
Code Walkthroughs: Learn best practices and patterns
Career Support: Portfolio review and interview prep
Lifetime Access: Updates and community support

Program Includes
            Complete code repository (100+ examples)
Jupyter notebooks for all modules
ML project templates and boilerplates
Dataset collection for practice

            Cloud compute credits for training
Recorded video library
3-month post-training mentorship
Certificate of completion

        

Ready to Launch Your ML Career?

Join hundreds of engineers and data scientists who have transformed their careers with our ML training.
Let's discuss the right program track for your goals.

Email Us

contact@transformaix.in

Call Us

+91 8983010800

Page 4

Machine Learning Programs

Program Overview

About This Program

Key Learning Outcomes

Who Should Attend

Program Curriculum

Why Choose TransformAIx

Program Includes

Ready to Launch Your ML Career?