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AI Foundations for Students and Beginners

Original price was: INR ₹8,499.00.Current price is: INR ₹4,249.00.

AI Foundations for Students and Beginners is a beginner-level, 3 Weeks online course by NSTC. Master key concepts and practical skills in Science & Technology through hands-on projects, real-world case studies, and expert mentorship. Earn your e-Certification + e-Marksheet upon successful completion.

Attribute
Detail
Format
Online (e-LMS)
Level
Beginner
Duration
3 Weeks
Certification
e-Certification + e-Marksheet
Tools
R, RStudio

About the Ai Foundations For Students And Beginners Course

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 Highlights

• Comprehensive coverage of AI Foundations for Students and Beginners from fundamentals to advanced applications
• Hands-on projects and real-world case studies in Science & Technology
• Expert-curated curriculum aligned with current industry standards
• Access to recorded lectures and e-LMS platform for flexible, self-paced learning
• e-Certification and e-Marksheet upon successful completion
• Dedicated mentor support and interactive doubt-clearing sessions
• Exposure to industry-standard tools and platforms used in Science & Technology
• Career-oriented training for academic and professional growth in Science & Technology

Course Curriculum

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

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

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

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

Tools, Techniques, or Platforms Covered

R
RStudio

Real-World Applications

  • Apply AI Foundations for Students and Beginners skills directly to academic research, thesis work, and publications
  • Build a professional portfolio showcasing practical Science & Technology competencies
  • Solve industry-relevant problems using AI Foundations for Students and Beginners methodologies and tools
  • Contribute to open-source projects and collaborative research in Science & Technology
  • Prepare for competitive examinations, interviews, and professional certifications in Science & Technology

Who Should Attend & Prerequisites

  • Students pursuing degrees in Science & Technology, science, engineering, or related disciplines
  • Working professionals seeking to upskill or transition into Science & Technology roles
  • Researchers and academicians looking to adopt modern techniques in Science & Technology
  • Entrepreneurs, freelancers, and self-learners interested in practical Science & Technology knowledge

Prerequisites: No prior experience in Science & Technology is required. Basic computer literacy and a stable internet connection are sufficient. This course is designed to be beginner-friendly.

Frequently Asked Questions

1. What is the format of this AI Foundations for Students and Beginners course?
This is an Online (e-LMS) course delivered via our e-LMS platform. You will have access to pre-recorded video lectures, reading materials, assignments, quizzes, and hands-on projects that you can complete at your own pace.
2. Will I receive a certificate after completing this course?
Yes! Upon successful completion of all modules, assignments, and assessments, you will receive an e-Certification along with an e-Marksheet from NanoSchool (NSTC) that you can showcase on your CV and LinkedIn profile.
3. What are the prerequisites for this course?
No prior experience is required. This course is designed for beginners and takes you step by step from the basics to advanced topics.
4. How long will I have access to the course materials?
You will have access to all course materials for the duration of 3 Weeks. The self-paced format allows you to learn according to your own schedule through our online learning management system.
5. Is mentor support available during the course?
Yes, dedicated mentor support is available throughout the course. You can reach out for doubt-clearing sessions, project guidance, and career advice related to Science & Technology. Our mentors are industry experts and experienced professionals.
Enroll in AI Foundations for Students and Beginners today and take the next step in your professional journey. With expert-curated content, practical projects, and industry-recognized certification, this course is your gateway to mastering Science & Technology skills that matter.
Brand

NSTC

Format

Online (e-LMS)

Duration

3 Weeks

Level

Beginner

Hands-On

Yes – Practical projects with industrial datasets

Certification

  • Upon successful completion of the workshop, participants will be awarded a Certificate of Completion, validating their skills and knowledge in advanced AI ethics and regulatory frameworks. This certification can be added to your LinkedIn profile or shared with employers to demonstrate your commitment to ethical AI practices.

Achieve Excellence & Enter the Hall of Fame!

Elevate your research to the next level! Get your groundbreaking work considered for publication in  prestigious Open Access Journal (worth USD 1,000) and Opportunity to join esteemed Centre of Excellence. Network with industry leaders, access ongoing learning opportunities, and potentially earn a place in our coveted 

Hall of Fame.

Achieve excellence and solidify your reputation among the elite!

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