AI Courses

Advance Diploma in Artificial Intelligence - Machine Learning & Deep Learning

Overview:

Ready to embrace the power of AI and unlock its potential for your organization?

With the potential to change the way we work, not only in IT but across a range of business functions that rely on data for business performance, the possibilities are both exciting and limitless

This program is a blend of data science, deep learning, business analytics, visualization and project management education with the application of advanced analytics models for artificial intelligence, deep learning and cognitive computing.

Expectations and Goals:

This program aims to bridge the gap between theoretical knowledge and practical application of Machine Learning / Deep Learning and its applications in AI.

Designed to give students a comprehensive analytics education with in-person sessions, projects and seminars by industry leaders and hands-on learning in the Lab

The program features 18 weeks of classroom learning and lab work designed to instill rigor, knowledge and real-world understanding of Machine Learning. Set within the definitions of a classroom, participants are exposed to special topics in Machine Learning / Deep Learning.

What you will learn?:

1. Identify the ingredients required to start a Deep Learning project.

2. Train a deep neural network to correctly classify images it has never seen before

3. Deploy deep neural networks into applications

4. Identify techniques for improving the performance of deep learning applications

5. Assess the types of problems that are candidates for deep learning
6. Overview of Data Science and Analytics
7. Enhance a data analysis with applied Machine Learning

Prerequisite:

Basic Computer Knowledge .

Experience in working with Python is an advantage .

Knowledge of Basic Arithmetic, Algebra, Probability and Statistics, logic, matrices, vectors etc..

Must have a good grasp of written and spoken English.

Course Schedule

Final Project:

The Final Project is a student-led team project that offers a significant value proposition to organizations and the students. It provides a platform for students to apply their classroom learning to real business problems and leverage the power of data to provide valuable insights.

Salient features of the Final Project:

1. Student teams address a business issue currently being faced or considered by your organization, if one is identified and data is available, and come out with actionable solutions/recommendations.

2. The organization will provide the problem definition and a sample data set corresponding to the problem

3. Teams of students will bid for projects stating their proposed approach and methodology

4. Commitment of time by student team (of 3 to 4 members) is about 100-150 man-hours across 1 month

5. Student teams maintain regular client interaction/ reporting
6. Two formal reviews are held by the client and faculty
7. Final deliverables from the students will be a report based on the data analysis of a suitably developed model
8. There can be an intermediate deliverable where the initially developed model is taken and run by the company on the live data and feedback provided to student teams to enhance the model and write their final reports

Certificate Course in Python Programming - Basic Level

Overview:

This Python course first covers Python basics and then teaches you how to use that code to build some real example programs. !

The course is ideal for those who haven't programmed before, but it also works for experienced programmers who want to learn Python as long as they don't get offended by a bit of extra explanations of programming concepts.

The course also guides you on how to go about building even more advanced programs with Python. You will learn how to use Python third party libraries for building programs in a wide range of application areas.

Course Schedule

Requirement?

A working computer (Windows, Mac, or Linux)

No prior knowledge of Python is required

Who this course is for: ?

Those who don't know where to start with learning Python.

Those who want to use Python regardless of the technology field they want to apply the language

Those who need a complete guide on how to start and continue their career with Python.

Diploma in Python Programming - Advance Level

Overview:

Give an edge to your career with Python Certification Course!

Python is one of the most easy, effective and widely-used programming languages for general-purpose programming. With its efficient high-level data structures, simple yet effective approach to object-oriented programming, dynamic typing and elegant syntax, Python is undoubtedly an ideal language for both experts and novices for quick application development.

Expectations and Goals:

In this course, you’ll learn the basics of Python with little or no prior understanding of programming languages. This course mostly consists of hands-on examples for practical knowledge on Python and provides basic knowledge about the fundamentals of Python and its applications. It covers basic setup, variables, command line parameters and basic functions. You will also work on NumPy and Pandas to handle and manipulate data.

This course will cover many unique features that make Python such a popular language, and will go beyond just "the basics." Upon completion of the course, students will gain experience in the full development life cycle using the Python programming language.

What you will learn?:

1. Importance & Introduction to Python, its installation

2. What is a file and sequence operations in Python

3. Study OOP, expression, data structures, looping etc.

4. Understand functions, operations and class defining in Python

Prerequisite:

1. Basic knowledge of C programming language is desirable

2. Must have a good grasp of written and spoken English

Course Schedule

How will this benefit you:

1. Live faculty led training

2. Learn Pandas - library for data analysis and manipulation

3. Learn NumPy - foundation library for Data Science in Python

4. Learn SciPy - key algorithms core to Python's scientific computing

Diploma in Data Science

Overview:

Your path to a career in Data Science!

Launch your Data Science career with this introductory course. Build a solid foundation in Python and start exploring data-related careers.

This program will teach you both the foundational aspects and the practical skills that prepare you for handling and analyzing different types of data in different fields, thus responding to the needs of a huge variety of companies and organizations, ranging from retailers to manufacturers to health-care and to public administration.

Expectations and Goals:

This program focuses on a set of core concepts and techniques that have broad applicability for programmers, it presents data science as a way of thinking, in which interpretation and communication are as important as computation and statistical methods.

We all have to be able to think critically and make decisions based on data. Thus, the program aims to make data science accessible to everyone.

What you will learn?:

1. Build a foundation in Python Programming and Statistics.

2. Clean and Analyze large datasets to make data-driven decisions

3. Communicate effectively with all stakeholders by telling a story with data.

Prerequisite?

1. Basic Computer Knowledge

2. Knowledge of Basic Arithmetic, Algebra, Probability and Statistics, logic, matrices, vectors etc.

Course Schedule

Diploma in Applied Machine Learning using python

Overview:

Interested in the field of Machine Learning? Then this course is for you!

We will walk you step-by-step into the World of Machine Learning. With every tutorial you will develop new skills and improve your understanding of this challenging yet lucrative sub-field of Data Science.

This course is packed with practical exercises which are based on real-life examples. So no only you will learn the theory, but you will also get some hands-on practice building your own models.

Expectations and Goals:

The challenge for many beginners is how to structure a business problem as a ML problem, and then go on to build, select and evaluate the right model. This course is designed to help learn how to apply machine learning to business problems.

Upon completion of this course, the participant will enrich his knowledge with scientific and practical knowledge of machine learning and development tools in Python

What you will learn?:

1. Build features that meet analysis needs

2. Create and evaluate data clusters

3. Know a way to handle missing data

4. Explain different approaches for creating predictive models

Prerequisite?

1. Engineering / Scientific / Mathematical background

2. Basic skills in Programming and Statistics

3. Experience in working with Python is an advantage
4. Must have a good grasp of written and spoken English

Course Schedule