Mentor Based
Jupyter Notebook Mastery
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Course Overview
Program Syllabus
Module 1
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.
Module 2
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.
Module 3
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.
Module 4
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.
Lead Instructor
Dr. Sarah Chen
PhD in Computational Mechanics from MIT with 15+ years of experience in Industrial AI. Former Lead Data Scientist at Tesla and current advisor to Fortune 500 manufacturing firms.
Limited SeatsClosing Soon
Jupyter Notebook Mastery
Professional Certification Program
🎥
FormatLive + Recorded
📅
Duration8 Weeks
📜
CertificationVerified
Module 5
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.
Module 6
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.
Module 8
What You’ll Gain
- Full access to e-LMS
- Real-world dry lab projects
- 1:1 project guidance
- Publication opportunity
- Self-assessment & final exam
- e-Certificate & e-Marksheet
Module 9
Join Our Hall of Fame!
Take your research to the next level with NanoSchool.
Module 10
Publication Opportunity
Get published in a prestigious open-access journal.
Module 11
Centre of Excellence
Become part of an elite research community.
Module 12
Networking & Learning
Connect with global researchers and mentors.
Module 13
Global Recognition
Worth ₹20,000 / $1,000 in academic value.
Module 14
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