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?:
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Identify the ingredients required to start a Deep Learning project.
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Train a deep neural network to correctly classify images it has never seen before
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Deploy deep neural networks into applications
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Identify techniques for improving the performance of deep learning applications
- Assess the types of problems that are candidates for deep learning
- Overview of Data Science and Analytics
- 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
Topic |
Duration |
Introduction to AI and Advanced Programming |
6 Weeks |
Data Mining |
2 Weeks |
Mini Data Mining Project using Apache Spark, Kafka & Kibana |
2 Weeks |
Machine Learning & Deep Learning |
6 Weeks |
Natural Language Processing |
2 Weeks |
AI Platforms & Reinforcement Learning
|
2 Weeks |
Final Project using TensorFlow / Caffe + Keras
|
4 Weeks |
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:
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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.
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The organization will provide the problem definition and a sample data set corresponding to the problem
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Teams of students will bid for projects stating their proposed approach and methodology
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Commitment of time by student team (of 3 to 4 members) is about 100-150 man-hours across 1 month
- Student teams maintain regular client interaction/ reporting
- Two formal reviews are held by the client and faculty
- Final deliverables from the students will be a report based on the data analysis of a suitably developed model
- 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