Course Design By
Nasscom & Wipro
You will learn what ML is and how it works. You will study models like regression. You will learn classification and clustering. These are ways to make smart guesses from data.
You will use Python for this. You will learn tools like Pandas. You will use NumPy to work with numbers. You will also use Scikit-learn to build models.
You will train models. You will test them to see how good they are. You will work with real data. You will also do small projects.
You will learn how to show your model to others. You will use simple tools like Flask. You will also try Streamlit.
Smart Automation: Build intelligent systems that reduce manual work
Insightful Predictions: Analyze data to forecast trends
Industry Demand: Many sectors now need ML professionals
Career Boost: Learn skills that increase job value
Machine Learning Engineer Build and train models
Data Scientist Analyze complex data to find patterns
AI Developer Create smart features in app
Business Intelligence Analyst Use ML for reports
NLP Engineer Work with text and language data
Research Assistant Explore new ML ideas
Data Engineer Prepare data pipelines for ML systems
You will work with data. You will clean the data. You will also fix any wrong data. This is called data preprocessing.
Next, you will build models. These models learn from data. You will use Python to do this. You will also use tools like Pandas, NumPy, and Scikit-learn. They help you work faster.
You will then test the models. This tells you if the model is good. You will check accuracy, precision, and recall. These checks help you choose the best model.
After testing, you will show the results. You can use graphs or charts. Tools like Matplotlib and Seaborn help with this.
You may also put the model into real use. This is called deployment. The model will start helping people or businesses.
You may work on image tools, smart chatbots, or fraud checks. You may also help find trends.
Fresh graduates in computer science, IT, or data science
Working professionals in software, analytics, or BI roles
Engineers and developers seeking AI skills
Entrepreneurs building tech products
Academics and researchers exploring AI models
IT and Software: These companies use ML for apps, websites, and automation.
Healthcare: Hospitals and health apps use ML to study patient data and improve care.
Finance and Fintech: Banks use ML to spot fraud and give better services.
Retail and E-commerce: ML helps stores know what customers want and manage stocks.
Telecom: ML helps telecoms fix networks and offer better service.
Education: EdTech companies use ML to create smart learning tools.
Course Completion Certificate
Capstone Project Certificate
Interview Preparation Certificate
Resume Building: Learn how to create a strong resume with ML projects
Mock Interviews: Practice with industry experts
Job Alerts: Get real-time job openings from our network
Soft Skills Training: Learn communication and interview etiquette
1-on-1 Mentorship: Get help from mentors already working in ML roles
Alumni Network: Connect with past students now working in top companies
we train you to get hired.
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Course Design By
Nasscom & Wipro
Course Offered By
Croma Campus
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21-Jun-2025*
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23-Jun-2025*
25-Jun-2025*
You will get certificate after
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You will get certificate after
completion of program
You will get certificate after
completion of program
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Basic Python knowledge is helpful, but the course starts with fundamentals, making it suitable for beginners too.
Most courses last between 8 to 12 weeks, depending on the schedule (weekday/weekend).
Yes, you will receive recognized certificates upon successful course and project completion.
Yes, many institutes offer resume building, mock interviews, and direct placement support.
Absolutely. Many Machine Learning Classes offer both classroom and online learning modes.
You will work with Python, Scikit-learn, Pandas, Matplotlib, NumPy, and ML deployment tools like Flask or Streamlit.
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