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AI / ML Projects & Training
A hands-on AI/ML training program plus custom AI solution development for businesses.
Overview
AI and ML are transforming every industry. SmartGrow offers both a training program for students building AI skills and custom AI development for businesses, practical and hands-on, covering not just theory but how to build and deploy real AI systems.
The AI/ML training program is a 3-month intensive that takes beginners to job-ready AI engineers, 80% practical projects, 20% theory. Duration 12 weeks · live online + offline (Hyderabad) · 3 days/week, 2 hours/session, 72 hours total · maximum 20 students per batch.
AI / ML Projects & Training
Hands-on projects
House price prediction
Linear regression.
Customer churn prediction
Classification.
Sentiment analysis of product reviews
NLP.
Face mask detection using CNN
Computer vision.
Recommendation system
Collaborative filtering.
AI / ML Projects & Training
What's included
72 hours of live training
Lifetime access to recorded videos
Study materials (PDFs, code, datasets)
Google Colab Pro subscription (₹5,000 value)
5 industry-grade projects with code
GitHub portfolio setup
Certificate of completion
3 mock interviews for AI/ML roles
Job referrals
Lifetime WhatsApp support group
Career outcome: AI/ML engineers earn ₹6–12 LPA starting salary.
AI / ML Projects & Training
Custom AI solutions we build
Predictive analytics
Sales forecasting, demand prediction, customer lifetime value, churn, risk models.
Natural language processing
Chatbots, sentiment analysis, document classification, summarisation, translation, Q&A.
Computer vision
Object detection, face recognition, OCR, defect detection, classification, video analytics.
Recommendation systems
Product, content and job-matching recommendations; personalised marketing.
Anomaly detection
Fraud detection, intrusion detection, manufacturing QC, healthcare alerts.
AI / ML Projects & Training
AI development process
Discovery & data
Understand the problem, collect and explore data, assess feasibility, define metrics.
Model development
Cleaning, feature engineering, training, tuning, evaluation.
Deployment
API development (Flask/FastAPI), cloud deployment, frontend integration, monitoring, documentation.
Training curriculum (3 months)
Scroll the line. Each phase lights up as you reach it.
Month 1
Month 1
Python & data science foundations
- Python mastery, NumPy, Pandas, visualisation (Matplotlib/Seaborn), Jupyter/Colab
- Statistics, probability, distributions, hypothesis testing
- Linear algebra and calculus for ML
Month 2
Month 2
Machine learning
- Supervised learning: regression, logistic, decision trees, random forests, SVM, KNN, evaluation metrics
- Advanced ML: clustering, PCA/t-SNE, ensembles/XGBoost, feature engineering, imbalanced data, hyperparameter tuning
Month 3
Month 3
Deep learning & specialisations
- Neural networks, TensorFlow/Keras, CNNs, RNNs, transfer learning
- NLP: embeddings, sentiment, NER
- Computer vision: OpenCV, object detection, face recognition, segmentation
Results
What this looks like in practice
Customer churn prediction
A churn model for a telecom client reduced churn by 25% and saved ₹50L annually.
OCR invoice processing
Handles 10,000+ invoices/month, saving 200 man-hours.
“Completed the AI/ML training, built 5 projects, and got placed at Accenture as an ML Engineer at ₹8 LPA.”
Next step
Let's scope your engagement
Pricing is shared on the call. Book one and we'll map the work together.