Course Description
Artificial intelligence (AI) is a wide-ranging branch of computer science concerned with building smart machines capable of performing tasks that typically require human intelligence. It refers to the simulation of a human brain function by machines. The program is designed to help you learn the foundation of Artificial Intelligence concepts including the essentials of Python Programming and Machine Learning enabling the real-world implementation of advanced tools and models. The need for AI specialists exists in just about every field as companies seek to give computers the ability to think, learn and adapt. There is an increasing need for intelligent and accurate decision-making across industries. This has led to an exponential growth in the adoption of ML technologies, and they are expected to remain relevant in years to come.
What you’ll learn?
- Understand the meaning, purpose, scope, stages, applications, and effects of Artificial Intelligence
- Master the key concepts of Python Programming, including all the core and advanced topics and how to apply statistics with the data
- Get an expertise in writing your own scripts in idiomatic approach by performing hands-on exploratory data analysis using Jupyter notebook
- Gain an in-depth understanding of different phases in the Data Science process like feature engineering, data exploration, data visualization, feature selection, model building, model evaluation.
Who This Course is for
- Beginners in AI & ML space looking to kickstart their careers.
- Graduates looking to build a career in Artificial Intelligence and Machine Learning.
- Anyone with basic programming skills looking to boost their career in Machine Learning or Artificial Intelligence
- Experienced professionals who would like to harness Artificial Intelligence in their fields to get more insight
How will your doubts get solved?
You can post your doubts on the Q&A forum which will be answered by the teachers within 24 hours.
Course Content
- Module 1: Review of Python
- Topic 1.1: Input/Output Statements
- Topic 1.2: Variables, Data types, Operators
- Topic 1.3: Control Statements
- Topic 1.4: Functions
- Topic 1.5: Data Structures: Strings, List,Tuple,Set,Dictionary
- Topic 1.6: Functional Programming and Idiomatic approach
- Topic 1.7: File Handling & Database Connectivity
- Topic 1.8: Modules, Packages and Core Libraries
- Module 2: Python Packages for Data Science Applications
- Module 3: Data Preprocessing
- Module 4: Exploratory Data Analysis
- Module 5: Introduction to Machine Learning
- Topic 5.1: Simple Linear Regression
- Topic 5.2: Multiple Linear Regression
- Topic 5.3: Logistic Regression
- Topic 5.4: K Nearest Neighbors
- Topic 5.5: Naive Bayes
- Topic 5.6: Decision Tree
- Topic 5.7: Ensembling Algorithms
- Topic 5.8: Cluster Analysis
- Topic 5.9: Dimensionality Reduction: PCA
- Topic 5.10: Hyperparameter Optimization
- Module 6: Performance Evaluation of the models
- Module 7: Introduction to Neural Networks
Anil Kumar
Master Trainer
An experienced trainer with 11+ years of experience having trained more than 25000+ students in various technology courses.
Experienced Information Technology Project Manager with a demonstrated history of working in the information technology and services industry. Skilled in C++, PL/SQL, .NET Framework, Transact-SQL (T-SQL), ASP.NET. and Python. Strong program and project management professional with a Bachelor of Technology - BTech focused in Electrical, Electronics and Communications Engineering from Lord's Institute Of Engineering And Technology.
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1. Can I enroll in this program if I don't have any prior knowledge of programming?
Yes, anyone who is passionate about learning Machine Learning can enroll in this program. We encourage learners from diverse backgrounds. To enable this, we provide support and supervised learning to our learners.
2. What if I miss a live class?
Get access to recorded lectures and revisit them later at your own convenience.Get access to recorded lectures and revisit them later at your own convenience. Our Learning Management System assists you in revisiting crucial topics and prep for quizzes and tests.
3. How will program mentors help me during the program?
The program mentors will work closely with you throughout the course to facilitate a better learning experience by resolving your queries and connecting you with trainers. They will also discuss your grades, attendance, and other key elements associated with your progress.
4. What is the format of the program?
This program Machine Learning is a 2-month program which starts with self-paced primer on Python. You will need to work on real-world projects which ensure that you learn implementation of machine learning. You will work on a final project in the end to reinforce your learning.
5. Will the content be available after the Artificial Intelligence course is completed?
We believe that learning is continuous and hence all learning material ? lecture notes, online content and supporting material ? will be available through the online platform after completion of the ML course.
6. How will I be evaluated during the Artificial Intelligence course?
In this holistic and rigorous course, you will be evaluated continuously. All quizzes, assignments, attendance and projects are used to evaluate and monitor your progress towards the desired learning outcomes.
- Course Details
- To Be Announced
