About this course
The Nxt Certified Machine Learning Program is a comprehensive 3-month course designed to equip participants with the essential skills and knowledge in machine learning. The program covers various aspects of machine learning, including supervised and unsupervised learning, deep learning, and practical applications in real-world scenarios.
- Hands-on experience with popular ML frameworks and tools.
- Understanding of algorithms and their applications.
- Project-based learning for real-world problem solving.
- Expert mentorship and guidance throughout the course.
Tools you will master
Hands-on practice on the same software that companies use every day.
Python
TensorFlow
Pandas
Scikit-learn
Google GeminiAI
GitHub CopilotAI
VS CodeAI
GitHubAI
ClaudeAI
PerplexityAI
NotebookLMAI
What you will study, module by module
- Overview of Machine Learning
- Data Types and Structures
- Data Cleaning Techniques
- Data Visualization Methods
- Linear Regression Techniques
- Logistic Regression
- Decision Trees
- Model Evaluation Metrics
- K-Means Clustering
- Hierarchical Clustering
- PCA Techniques
- t-SNE for Visualization
- Introduction to Neural Networks
- Convolutional Neural Networks
- Recurrent Neural Networks
- Training and Tuning Models
- Model Deployment Techniques
- API Creation for ML Models
- Version Control for Models
- Monitoring and Maintenance
- Natural Language Processing
- Reinforcement Learning
- Ethical AI Considerations
- Capstone Project Presentation
- AI Basics and Everyday Uses
- Generative AI: How It Works
- Prompt Engineering Foundations
- AI for Study and Workplace Tasks
- Fact-Checking and Reliable Research
- Privacy, Safety and Responsible Use
- Integrated Practice and Review
- AI Pair Programming Setup: VS Code and GitHub Copilot
- AI-Assisted Front-End Development
- Python Coding and AI Agents in the Editor and Terminal
- GitHub Team Workflow and AI Code Review
- Calling AI APIs from Your Own App
- AI-Assisted Testing, Debugging and Documentation
- AI-Assisted Deployment and Final Project
After this course you will be able to
- Understand the fundamental concepts of machine learning.
- Gain proficiency in using Python and popular ML libraries.
- Develop skills in data preprocessing and feature engineering.
- Implement various machine learning algorithms.
- Build and evaluate machine learning models.
- Understand the ethical considerations in AI and ML.
Projects you will build
Create a predictive model using regression techniques.
Develop a classification model for image recognition.
Implement a clustering algorithm on real-world data.
Build a recommendation system using collaborative filtering.
Jobs you can get after this course
Salary ranges are approximate for freshers in India and depend on city, company and your skills.
Who hires for these skills
Earn on your own
- Offering machine learning consulting services
- Developing AI-driven applications
- Creating data analysis reports for businesses
- Providing online tutoring for ML topics
Is this course for you?
Best for
- 12th pass students
- Graduates seeking a career change
- Job seekers in tech
- Working professionals looking to upskill
- Entrepreneurs wanting to leverage AI
Eligibility
Basic understanding of programming and statistics. A background in computer science or related fields is preferred but not mandatory.
What you get with ISDM NxT
Upon successful completion, you will receive an ISDM NxT certificate, showcasing your skills in machine learning.
How we help you get a job
- 1
Resume building assistance
- 2
Mock interview sessions
- 3
Access to job offers
- 4
Guidance on job applications
Your certificate & marksheet
After passing the final exam you receive an ISDM NxT certificate and marksheet like these. Tap to view.
Sample only - the real certificate carries your name, photo, marks, enrolment number and a QR code for online verification.
What next after this course
Questions students ask
A basic understanding of programming and statistics is required. Familiarity with Python is beneficial.
Yes, participants will receive a Nxt Certified Machine Learning Program certificate upon successful completion of the course.
Absolutely! The course includes multiple hands-on projects to help you apply your learning in practical scenarios.
You will have access to expert mentors who will provide guidance and support throughout your learning journey.