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Python Language – Use in AI
Python, AI, machine learning, deep learning, NLP, data analysis, TensorFlow, Keras, Scikit-learn, NumPy, Pandas.
Enroll now for early access of e-LMS
Online/ e-LMS
Mentor Based
Moderate
12 weeks
About
Python Language – Use in AI is an 8-week course that explores Python’s pivotal role in the development of AI technologies. Intended for M.Tech, M.Sc, and MCA students, as well as professionals in various tech industries, the course offers in-depth instruction on Python coding, data handling, machine learning, deep learning, and natural language processing.
Aim
This course aims to provide participants with a comprehensive understanding of Python as a foundational tool in artificial intelligence, equipping them with the skills to implement Python-based AI solutions effectively.
Program Objectives
- Mastery of Python for AI: Deep understanding of Python as a critical tool in AI development.
- Practical Application Skills: Proficiency in applying Python to various AI domains, including machine learning and NLP.
- Innovative Problem Solving: Capability to tackle real-world problems with Python-driven AI solutions.
Program Structure
- Introduction to Python for AI:
- Fundamentals of Python in AI, setting up the environment, and basic Python programming.
- Data Handling and Manipulation:
- Using NumPy and Pandas for data analysis, and visualizing data with Matplotlib and Seaborn.
- Introduction to Machine Learning with Python:
- Basics of machine learning, using Scikit-learn for implementing ML algorithms, and evaluating models.
- Deep Learning with Python:
- Fundamentals of neural networks, using TensorFlow and Keras for building and training models.
- Natural Language Processing (NLP):
- Basics of NLP, utilizing libraries like NLTK and spaCy, and implementing NLP projects.
- Capstone Projects and Advanced Topics:
- Application of AI in web applications, discussions on AI ethics, and a capstone project integrating AI with Python.
Participant’s Eligibility
- M.Tech, M.Sc, and MCA students in IT, Computer Science, and related fields.
- E0 & E1 level professionals in BFSI, IT services, consulting, and fintech IT services.
Program Outcomes
- Enhanced Python Skills: Advanced proficiency in Python for developing AI applications.
- AI Implementation Expertise: Skills to implement and manage Python-based AI projects effectively.
- Strategic Insight: Understanding of how to strategically use Python in AI to drive business and technological innovation.
Fee Structure
Standard Fee: INR 49,998 USD 1,300
Discounted Fee: INR 24999 USD 650
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: Assistance with career development in AI and Python-related fields.
- Networking Opportunities: Access to a network of AI professionals, guest lectures by industry experts.
- Corporate Partnerships: Engagement with tech companies for project support and job placement opportunities.
Future Career Prospects
- AI Developer: Specializing in Python to develop AI applications.
- Data Scientist: Leveraging Python for data analysis and machine learning.
- AI Researcher: Using Python to innovate and push the boundaries in AI technology.
Current Participants* Analytics
Country
Profession
Affiliation
Note: The information shown in the above-mentioned analytics is live and may include information that is not completely correct like spelling mistakes, grammatical mistakes , factual errors or even mis representation as this is what participants have entered, the information is currently not edited and or filtered , but at later stages they will be filtered to provide true data representation.
Enter the Hall of Fame!
Take your research to the next level!
Achieve excellence and solidify your reputation among the elite!
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Recent Feedbacks In Other Workshops
The course was more theoretical than practical.
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