AI & ML

Machine Learning

Step into the world of data-driven intelligence with our 12-month Machine Learning specialisation. This immersive program equips you with hands-on skills in model building, supervised and unsupervised learning, and real-world ML applications—guided by expert mentors and project-based learning.

₹2,40,000

Program fee

₹2,40,000

Per month, EMI option

  • Real Projects
  • Placement Assistance
  • Flexible Payment Options

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About this program

At GullyAcademy, our Machine Learning Specialisation builds a strong foundation in predictive modeling, algorithms, and applications. We help learners understand core ML principles while applying them to real-world problems. Through practical exercises, you’ll work on regression, classification, clustering, and recommendation systems.

Program timeline

  1. 01

    Months 1–3: Python & Data Handling

    Learn Python, Pandas, and Matplotlib for data preprocessing, EDA, and visualisation. 

  2. 02

    Months 4–6: Core ML Algorithms

    Train regression, classification, and clustering models using Scikit-Learn and evaluate performance. 

  3. 03

    Months 7–9: Advanced Techniques & Tuning

    Apply ensemble models, hyperparameter tuning, and feature selection to improve model accuracy. 

  4. 04

    Months 10–12: Projects & Deployment

    Deploy models via Streamlit or Flask and build your portfolio with notebooks and real business problem statements. 

What you'll build

Real-World Module Development

Train models using Scikit-Learn 

Apply classification, regression, and clustering 

Perform feature engineering and scaling 

Evaluate with confusion matrix and cross-validation 

Projects to Build Your Portfolio

House price prediction using regression 

Customer churn prediction with classification 

Movie recommender system 

Fraud detection and model evaluation pipeline

Continuous Feedback & Improvement

Mentor-led code reviews and model walkthroughs 

Error analysis and model performance tuning 

Guidance on applying ML to domain-specific problems 

Weekly checkpoints to track progress 

Placement Preparation

Resume creation and LinkedIn optimisation 

Mock ML interviews and scenario-based questions 

GitHub portfolio setup with notebooks and reports 

Access to hiring partners and job referrals 

Tools & technologies

Programming & Libraries

  • Python
  • NumPy
  • Pandas
  • Matplotlib

ML Algorithms

  • Scikit-Learn
  • XGBoost
  • LightGBM
  • Statsmodels

Model Evaluation

  • Confusion Matrix
  • ROC/AUC
  • Cross-Validation
  • Grid Search

Deployment Tools

  • Streamlit
  • Flask
  • GitHub
  • Jupyter Notebooks

Why Choose This Program?

Hands-on Learning: Train, evaluate, and deploy real ML models using Python, Scikit-Learn, and open datasets. 

Concept to Deployment: Learn both theory and practical skills for real-world implementation and interviews. 

Mentor Support: Get project feedback and personalised guidance from industry professionals throughout your journey. 

Placement Assistance: Prepare with resume building, mock interviews, and hiring support for ML and data science roles. 

💰 Program Fee: ₹2,40,000 | EMI starts at ₹20,000/month 

What Makes Us Unique?

Features Our Program Traditional Courses Free Tutorials 
Real Model Projects ✅ Yes ❌ Rare ❌ No 
Concept + Application Focus ✅ Yes ❌ Minimal ❌ No 
Placement Support ✅ Yes ✅ Yes ❌ No 
Payment Flexibility ✅ Yes ❌ Rare ✅ Yes (Limited) 

How This Program Works

Who Is This Program For?

Freshers & Students – Build your core machine learning foundation with practical, job-ready skills. 
Analysts & Engineers – Transition into ML roles by learning how to build and evaluate models. 
Career Switchers – Break into AI with hands-on experience and support throughout the process. 

Tools & Technologies You’ll Master

Program Timeline

Career Outcomes

Get ready for roles like: 
Machine Learning Engineer 
Data Scientist 
AI Analyst 
ML Research Assistant 

💼 Average Salaries: ₹6–9 LPA (entry-level) | ₹12–18 LPA (with experience) 

Why Machine Learning?

High Demand: ML engineers are in demand across industries—finance, healthcare, retail, and tech. 

Foundation for AI: Understanding ML is essential for working in AI, data science, and deep learning. 

Future-Proof Career: The world is increasingly reliant on smart systems—ML skills keep you ahead. 

Frequently Asked Questions (FAQs)

Apply Now

Ready to become a Machine Learning Engineer and build real models? 
Apply today and start your ML journey with expert mentorship and project-based learning. 

Contact & Pricing

💰 Total Fee: ₹2,40,000 
📆 EMI: ₹20,000/month 
📞 Call/WhatsApp: +91-8095858589 
📧 Email: info@gullyacademy.com 

Refund Policy

We offer a 100% refund if you withdraw within the first 2 weeks of the program—no questions asked. 

Frequently asked questions

Do I need prior programming experience?
Basic Python knowledge is helpful, but we start with beginner-friendly modules and support throughout.
Will I work on real projects?
Yes. You'll complete 5+ real-world machine learning projects with mentor feedback and deployment guidance.
Do I get a certificate?
Yes. You’ll receive a GullyAcademy certificate upon successful completion of projects and assessments.
Is the program online or offline?
It is fully online with live mentor sessions, project guidance, recordings, and weekly checkpoints.
What if I miss a session?
All sessions are recorded and available to revisit anytime. You'll also have Q&A support from mentors.
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