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AI · Advanced · Live online
Jupyter Notebook Mastery
Jupyter Notebook, AI development, machine learning, deep learning, data visualization, real-world AI projects, Python programming
★ 4.2 (28 ratings)2 WeeksCertificate
About This Course
Jupyter Notebook – Use in AI is designed to guide participants through the versatile capabilities of Jupyter Notebook in artificial intelligence. Over 6 weeks, students and professionals will learn to harness Jupyter Notebook for building, testing, and deploying AI models, making it an invaluable skill in any data scientist’s toolbox.
Aim
This course aims to familiarize participants with Jupyter Notebook as a powerful tool for developing and visualizing AI models, from data manipulation to deep learning applications.
Program Objectives
- Comprehensive Jupyter Skills: Gain a thorough understanding of Jupyter Notebook’s functionalities specifically tailored for AI applications.
- Practical AI Implementation: Develop the ability to execute end-to-end AI projects from data preprocessing to model deployment using Jupyter.
- Visualization Mastery: Master the art of visualizing complex datasets and model outputs to make informed decisions based on AI analyses.
Program Structure
- Introduction to Jupyter Notebooks:
- Basics of Jupyter and its ecosystem, installation, and navigation.
- Basics of Using Jupyter for AI:
- Python essentials, setting up AI models, and data manipulation.
- Advanced Data Handling and Visualization:
- Detailed data analysis techniques and visualization tools such as Matplotlib, Seaborn, and Plotly.
- Machine Learning with Jupyter:
- Implementing supervised and unsupervised learning models.
- Deep Learning in Jupyter Notebooks:
- Building and tuning neural networks, including CNNs for advanced applications like image processing.
- Real-World AI Projects:
- From project setup to deployment, handling real-world AI challenges.
Who Should Enrol?
- Students and early professionals in M.Tech, M.Sc, and MCA, especially those focusing on IT, Computer Science, and related fields.
- Professionals seeking to enhance their practical knowledge of AI implementations using Jupyter Notebook.
Program Outcomes
- Enhanced AI Skills: Deep understanding of how to utilize Jupyter Notebook for various AI tasks.
- Industry Readiness: Prepared to engage with modern AI challenges and solutions in a variety of industries.
- Innovative Problem-Solving: Equipped with the tools to innovate and improve AI systems.
Fee Structure
Discounted: ₹5999 | $81
We accept 20+ global currencies. View list →
Frequently asked questions
Will I get the recording?
Yes. Paid participants get the session recordings and study material in their NanoSchool dashboard (My registrations → Recorded Lectures / Study Material).
What if I miss a live session?
Watch the recording in your dashboard and send your questions to the mentor through the support desk.
Do I get a certificate?
Yes, an e-certificate of participation after the workshop, with a QR code anyone can verify and an "Add to LinkedIn" button.
Which fee category applies to me?
Choose the category that matches your current role: Student, Ph.D. Scholar / Researcher, Academician / Faculty or Industry Professional.
How can I pay?
By card, UPI or PayPal on the payment page; international bank transfer is also available there.
What is the refund policy?
See our Returns, Refunds & Cancellation policy: Returns, Refunds & Cancellation policy