Home Fundamentals of Artificial Intelligence and Machine Learning

Online Certified Course

Fundamentals of Artificial Intelligence and Machine Learning

Fundamentals of Artificial Intelligence and Machine Learning
Fundamentals of Artificial Intelligence and Machine Learning video preview
Looking for Physical Training for Your Institution? Contact us
AICTE EvaluatedQuality assured content
CertificateRecognized certification
Video-based Self-LearningLearn at your convenience
Subscription based 3 months validityAccess anytime, anywhere

Course Modules

Unit 01 Introduction To Ai

0 Videos
0 Assessments

Unit 02 Introduction To Machine Learning

0 Videos
0 Assessments

Unit 03 Python Basics For Ml

0 Videos
0 Assessments

Unit 04 Python Libraries For Ml

0 Videos
0 Assessments

Unit 05 Data Preprocessing

0 Videos
0 Assessments

Unit 06 Feature Engineering

0 Videos
0 Assessments

Unit 07 Supervised Learning

0 Videos
0 Assessments

Student learning online

Learning Objectives

  • Explain the fundamental concepts, terminology and applications of Artificial Intelligence and Machine Learning.

  • Differentiate between supervised, unsupervised, semi-supervised and reinforcement learning.

  • Apply Python programming concepts and essential libraries for data analysis and machine learning.

  • Import, examine, clean, preprocess and manage datasets effectively.

  • Perform feature selection, encoding, scaling and transformation.

  • Develop regression, classification and clustering models using suitable algorithms.

  • Apply dimensionality-reduction techniques to simplify complex datasets.

  • Evaluate machine learning models using appropriate performance metrics.

  • Identify and address overfitting, underfitting, bias, variance, class imbalance and data leakage.

  • Understand the basic concepts and applications of deep learning and neural networks.

  • Complete a practical machine learning project from data preparation to model presentation.

Why Enroll in This Course?

Improve academic performance

Boost confidence in communication

Enhance employability & growth

Build global English proficiency

Learn at your own pace

AICTE evaluated & trusted content

Why This Course Matters

  • Builds a strong foundation in Artificial Intelligence and Machine Learning.

  • Develops practical Python programming and data-handling skills.

  • Introduces widely used libraries such as NumPy, Pandas, Matplotlib, Seaborn and Scikit-learn.

  • Enables learners to clean, prepare and analyse real-world datasets.

  • Develops the ability to select and apply suitable machine learning algorithms.

  • Enhances understanding of regression, classification, clustering and dimensionality reduction.

  • Improves model evaluation, analytical thinking and problem-solving skills.

  • Provides practical experience through a complete machine learning project.

  • Prepares learners for entry-level roles in AI, machine learning, data science and data analytics.

  • Supports career pathways in software development, business analytics, research and intelligent automation.

  • Equips learners to apply AI and machine learning solutions across agriculture, healthcare, education, finance and other sectors.

The Best Investment in You

Invest in your learning

What You'll Learn in Each Module

NIPA offers high-quality online courses designed by experts to help you achieve your learning goals effectively.

100%AICTE Evaluated 7Modules 0Video Lessons 0Assessments
Overview & Objectives

Overview & Objectives

Fundamentals of Artificial Intelligence and Machine Learning

Structured online learning designed to help learners build practical speaking, presentation and interpersonal ability.

About This Course

This course introduces the fundamentals of Artificial Intelligence and Machine Learning, covering AI concepts and applications, types of machine learning, Python programming, essential libraries, dataset handling, data preprocessing, feature engineering, supervised and unsupervised learning, dimensionality reduction, model evaluation and deep learning. It equips learners with practical knowledge and essential skills to analyse data, develop machine learning models and apply AI-based solutions to real-world problems.

PR Anisha

Meet Your Trainer

PR Anisha

Dr. P.R. Anisha, Associate Professor, Department of Computer Science and Engineering Stanley College of Engineering & Technology for Women, Hyderabad. A dedicated academician and researcher with over 13 years of experience in Computer Science and Engineering, Dr. P.R. Anisha is currently an Associate Professor at Stanley College of Engineering & Technology for Women. Her career is marked by a strong commitment to excellence in teaching, curriculum development, and pioneering research. Dr. Anisha is recognized for her leadership in various institutional and governmental initiatives, including serving as the Faculty Facilitator for WE-HUB (Govt. of Telangana) and Faculty Sponsor for the SCETW ACM-W student chapter. Her research portfolio is both deep and broad, focusing on cutting-edge domains such as Artificial Intelligence, Machine Learning, Deep Learning, the Internet of Things (IoT), and Computer Vision. Dr. Anisha has made significant contributions to the academic community, having co-authored numerous book chapters for prestigious publishers like CRC Press (Taylor & Francis), Springer, and IGI Global. She has also edited several books on intelligent systems and sustainable development. Her work has been published in high-impact journals, including Multimedia Tools and Applications, Earth Science Informatics, and PLOS ONE, and she has published multiple papers in various international conferences. Dr. Anisha is also a sought-after speaker, having delivered a TEDx talk and served as a guest lecturer and resource person at various national institutions.