Putting AI to work to solve social problems
Solve real-life problems with data approach
Model make the prediction possible and easy
Apply concepts of AI-Project cycle in real life
Start your journey on the path towards being an AI practitioner.
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.
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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 ?
Understand AI from the perspective of a solution. Differentiate rule-based and learning-based systems. Understand AI perception and more.
What is a Project Cycle. Understand how AI is solving problems and the importance of project cycle to streamline the process.
Learn to identify, understand problem for goal setting and targeting. Go through ‘4Ws’ of problem canvas and scope of a problem, etc.
Identify data sources to gather required data. Understand data features, system maps and simulation to achieve the AI project.
Master the concepts of Data Visualization to build different charts and graphs. Learn to select right visualization technique as per the given data.
Understand the difference between an algorithm and a model. Learn to tune or improve the accuracy of a model using various techniques.
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 has potential to transform society. Students to understand SDGs and connect them with the AI-project cycle for better outcomes.
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