Online/ e-LMS
Mentor Based
Advanced
8 weeks
About
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.
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 31,998 USD 858
Discounted Fee: INR 15999 USD 429
We are excited to announce that we now accept payments in over 20 global currencies, in addition to USD. Check out our list to see if your preferred currency is supported. Enjoy the convenience and flexibility of paying in your local currency!
List of CurrenciesBatches
Live
Certificate
Program Assessment
Certification to this program will be based on the evaluation of following assignment (s)/ examinations:
| Exam | Weightage |
|---|---|
| Mid Term Assignments | 50 % |
| Project Report Submission (Includes Mandatory Paper Publication) | 50 % |
To study the printed/online course material, submit and clear, the mid term assignments, project work/research study (in completion of project work/research study, a final report must be submitted) and the online examination, you are allotted a 1-month period. You will be awarded a certificate, only after successful completion/ and clearance of all the aforesaid assignment(s) and examinations.
Program Deliverables
- Access to e-LMS
- Real Time Project for Dissertation
- Project Guidance
- Paper Publication Opportunity
- Self Assessment
- Final Examination
- e-Certification
- e-Marksheet
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.
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Recent Feedbacks In Other Workshops
good presentation, more time is needed to elaborate on some issues
The course was well communicated and interactive
lecture delivered well but the title of workshop was a little misleading
