AI Project Cycle

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    Problem to Solution

    Putting AI to work to solve social problems

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    Data-Centric Approach

    Solve real-life problems with data approach

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    AL/DS Models

    Model make the prediction possible and easy

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    Applying AI-Project Cycle

    Apply concepts of AI-Project cycle in real life

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Start your journey on the path towards being an AI practitioner.



Course Overview

AI Project Cycle is an important concept to master for aspiring AI practitioners. It covers all the major areas in identifying the problem, acquiring data, exploring data, visualizing, model building, and evaluation. These are essential steps to solve a real-life problem using emerging technologies such as AI. Every AI practitioner should know this framework to develop an ideal solution.

Project-based learning
It is essential to apply the knowledge to convert it into a skill. All our programs follow project-based learning pedagogy with assignments and quizzes.
Individual Projects
Post completion of the course, student is expected to complete 2 projects with varying difficulty to showcase learning.
Hackathon Invitation
A hackathon brings out the best from everyone. We would invite the best performers from the program to compete with each other while solving real-time problems.


Enhance your Skills & Learning with ,



E-learning videos followed by master sessions



Balancing your knowledge & skills



Trainer-led master classed to fill the learning gaps



Apply methods to solve UN-SDG identified problems


What Does U Get ?

What is AI

Understand AI from the perspective of a solution. Differentiate rule-based and learning-based systems. Understand AI perception and more.

Introduction To Project Cycle

What is a Project Cycle. Understand how AI is solving problems and the importance of project cycle to streamline the process.

Problem Scoping

Learn to identify, understand problem for goal setting and targeting. Go through ‘4Ws’ of problem canvas and scope of a problem, etc.

Data Acquisition

Identify data sources to gather required data. Understand data features, system maps and simulation to achieve the AI project.

Data Exploration

Master the concepts of Data Visualization to build different charts and graphs. Learn to select right visualization technique as per the given data.

Model Building & Evaluation

Understand the difference between an algorithm and a model. Learn to tune or improve the accuracy of a model using various techniques.

Big Data Concepts

Explore Big Data concepts and understand the 3Vs of it. Learn about how big data is helping machine learning and AI with better data.

AI-Project Cycle For SDGs

AI has potential to transform society. Students to understand SDGs and connect them with the AI-project cycle for better outcomes.




The right price for you, wherever you are

Select the course of your choice as we are assuring the best value for the money. Learn the course as per your convenience.



Online short course with self-guiding topics with on-demand support from experts.

  • Online Self-paced Learning
  • Building Block Courses
  • On-Demand Support
  • Personal Dashboard
  • Join Free Events
  • Work on your Projects
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Our Robotics to AI learning model is going popular among students from across the continents. We are growing with more features to offer.

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      New Delhi
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      Anshul - Robotics Student
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