Online/ e-LMS
Self Paced
Beginners
3 Weeks
About
This course, AI Foundations for Students and Beginners, is an 8-week program that provides a solid introduction to artificial intelligence (AI). It is perfect for students or those starting out, who want to understand AI concepts, machine learning (ML), and learn programming using Python. By the end, learners will have the skills to apply AI in real-world situations.
Program Structure
Module 1: Machine Learning and AI Basics (2 Weeks)
- Intro to AI, its branches (ML, Deep Learning, NLP)
- How AI is used in industries
- Key concepts: supervised vs unsupervised learning, classification, regression
- Simple AI models using Python and Scikit-learn
- Case studies from different industries
Module 2: Python Programming for AI (2 Weeks)
- Learn Python basics for AI programming
- Setting up Python and Jupyter Notebooks
- Python basics: data types, loops, functions
- Introduction to NumPy and Pandas for data manipulation
- Coding exercises to get comfortable
Module 3: Natural Language Processing (NLP) (2 Weeks)
- Understanding NLP and how machines process language
- Working with text data and preprocessing
- Basic NLP models: tokenization, stemming, lemmatization
- Using libraries like NLTK and spaCy
- Project: Analyze customer reviews with sentiment analysis
Module 4: Scikit-learn for Machine Learning (2 Weeks)
- Introduction to Scikit-learn
- Building models like Decision Trees, K-Nearest Neighbors, and Linear Regression
- Measuring performance with accuracy, precision, recall
- Project: Predict student performance based on previous data
Participant’s Eligibility
- College students keen on starting a career in AI.
- Beginners or entry-level professionals wanting to understand AI basics.
- Anyone seeking hands-on experience with Python and ML.
- People interested in real-world AI applications.
Program Outcomes
By the end of this program, you will:
- Have a solid understanding of AI and ML basics.
- Be proficient in Python programming for AI.
- Know how to process and analyze text data for NLP tasks.
- Be able to build and evaluate machine learning models.
- Gain practical experience solving real-world problems using AI.
Fee Structure
Standard Fee: INR 5,998 USD 90
Discounted Fee: INR 2999 USD 45
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!
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Key Takeaways
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
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