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Python for AI/ML & Data Science

Python for AI/ML & Data Science

Intake Capacity:30+ Students
Duration:45 Hours
Audience:For College Students & Corporate Professionals
OverviewCurriculamInstructor
Student studying
10Years Of Experience

Data is at the heart of modern decision-making. Organizations across sectors rely on data analysis and machine learning models to understand trends, predict outcomes, and drive strategic growth.

The Python for AI/ML & Data Science program equips learners with the programming and analytical skills required to work with data effectively. Students begin with Python fundamentals before exploring libraries used in data science and machine learning. By combining programming concepts with practical applications, the course enables learners to understand how data-driven technologies operate in real-world environments.

Enquire for Course

Build Your Skills in Data Science and Artificial Intelligence

Develop practical programming and analytical skills that power modern AI and data-driven technologies.

Our Featured Courses

Internet of Things (IoT) 101

Internet of Things (IoT) 101

Student Intake:30+ Students
Duration:20 hours
Ages:14-18+
Ratings:
4.3
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IoT & Edge Computing

IoT & Edge Computing

Student Intake:30+ Students
Duration:40 hours
Ages:All Ages
Ratings:
4.3
VIEW PROGRAMME
Advanced Excel & Data Visualization (Power BI)

Advanced Excel & Data Visualization (Power BI)

Student Intake:30+ Students
Duration:30 hours
Ages:All Ages
Ratings:
4.4
VIEW PROGRAMME
AI for Business Leaders

AI for Business Leaders

Student Intake:30+ Learners
Duration:12 hours
Ages:All Ages
Ratings:
4.4
VIEW PROGRAMME
Advanced Data Visualization

Advanced Data Visualization

Student Intake:30+ Learners
Duration:24 hours
Ages:All Ages
Ratings:
4.3
AI/ML & IoT Foundation

AI/ML & IoT Foundation

Student Intake:30+ Students
Duration:30 hours
Ages:All Ages
Ratings:
4.5
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AI/ML Explorers Program

AI/ML Explorers Program

Student Intake:30+ Students
Duration:15 hours
Ages:14-18+
Ratings:
4.4
VIEW PROGRAMME

Learning Outcomes

Understand Python programming fundamentals

Work with datasets and perform data analysis

Visualize data using charts and graphical representations

Build simple machine learning models

Testimonials

What Our Students Say!

Clear Understanding of AI & IoT

The program gave me a clear understanding of how AI and IoT technologies work together in real-world applications. Before joining this course, I had only heard about AI and IoT as separate technologies. The program helped me understand how they actually connect in real systems like smart homes, automation, and intelligent devices.

4.9(6k)
Rahul Verma
Rahul VermaLearner

Interactive and Fun Sessions

The sessions were interactive and fun. There were activities and discussions in every class. That made learning much more engaging and helped me understand how machines learn from data.

4.8(3k)
Aditya Singh
Aditya SinghStudent

Beyond Basic Excel

I thought I already knew Excel, but this was different. The course covered advanced features and dashboards that I had never used before. It took some practice, but now I can analyze data properly.

4.7(4k)
Priya
PriyaLearner

Good for Tech Beginners

Good course if you’re completely new to tech. I didn’t know anything about IoT before this. Now I understand the basics of how devices connect and share data. It’s a good starting point.

4.8(2k)
Pooja
PoojaStudent

Frequently Asked Have Any Questions?

These events—such as seminars, workshops, exhibitions, and conferences—offer valuable opportunities for participants to engage with the latest educational trends, technologies, and methodologies. Education events often feature keynote speakers, providing expert insights.

This program is suitable for college students, early-career professionals, and individuals interested in learning Python for data science and machine learning.
No. The course begins with Python fundamentals before moving to data science applications.
Learners will gain programming knowledge in Python, data analysis techniques, visualization skills, and basic machine learning concepts.
Python is widely used in fields such as data science, artificial intelligence, analytics, and automation. Learning Python provides a strong foundation for careers in these rapidly growing technology domains.
Classes combine instructor-led sessions, demonstrations, and hands-on exercises with datasets.
Yes. Participants will complete guided exercises and small projects that demonstrate real-world data analysis workflows.
Yes. The curriculum introduces data science concepts step by step, making it accessible for beginners.