Jupyter Notebook Mastery in AI
Jupyter Notebook, AI development, machine learning, deep learning, data visualization, real-world AI projects, Python programming
MODE
Online/ e-LMS
Online/ e-LMS
TYPE
Mentor Based
Mentor Based
LEVEL
Advanced
Advanced
DURATION
8 weeks
8 weeks
Batches
Spring
Summer
Live
Autumn
Winter
Program 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.
About Program
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.
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.
Participant’s Eligibility
- 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
Standard Fee: INR 49,998 USD 1,300
Discounted Fee: INR 24999 USD 650
Certificate
Program Assessment
- Assignments: Hands-on tasks after each module to apply learned skills in real-world AI scenarios.
- Quizzes: Short quizzes after each module to evaluate understanding.
- Final Project: Participants will implement a comprehensive AI project using Jupyter Notebook, demonstrating their mastery of the course content.
Program Deliverables
- Interactive Workshops: Practical, hands-on coding sessions to build and refine AI models.
- Expert-Led Sessions: Insights from AI practitioners on leveraging Jupyter Notebook for cutting-edge AI developments.
- Collaborative Projects: Team projects that foster real-world experience and collaborative skills in AI development.
Placement Assistance
- Career Guidance: Support in navigating job opportunities that require expertise in Jupyter Notebook and AI.
- Industry Connections: Networking with industry leaders and professionals through guest lectures and interactive sessions.
- Project Showcases: Opportunities to present projects to potential employers and collaborators.
Future Career Prospects
- AI Developer: Specializing in model development and data analysis using Jupyter Notebook.
- Data Analyst: Leveraging Jupyter for insightful data visualizations and analysis.
- Research Scientist: Utilizing Jupyter for innovative AI research and applications.
