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Artificial Intelligence and Machine Learning
1. OBJECTIVE
Bootcamp Overview
This Bootcamp is designed to introduce participants to the complete spectrum of topics related to Artificial Intelligence (AI) and Machine Learning (ML), while providing practical exposure and hands-on experience with industry-required tools for entry to mid-level jobs.
The program covers the entire AI/ML landscape, including:
- Basics of Data Science
- Machine Learning Fundamentals
- Supervised and Unsupervised Learning
- Decision Trees
- Clustering
- Deep Learning
- Natural Language Processing (NLP)
- Neural Networks
- Recurrent Neural Networks (RNNs)
- Long Short-Term Memory Networks (LSTMs)
3. COURSE OUTLINE
| COURSE DETAILS | |
| Course Duration | 64 hours |
| Course Timeline | ~4 weeks |
| Schedule | No. of days per week: 2 Timings: 9:30am – 3:30pm Days: Mondays and Wednesdays |
| Target Audience | 6th-semester CS/SE students or fresh-graduates |
| Maximum participants | 30 |
| Total Sections | Section A: AI and ML (48 hours) Section B: Soft-skills + CV and Interview tips (8 hours) Assessments/Projects (8 hours) |
| Lab-based course | Each student would require laptop/desktop |
| Hardware / Software requirements | Laptops or Desktops for each student Minimum system configuration: Core i7 with 16GB RAM High speed internet with downloading enabled Operating System: Windows Trainers will coordinate with University team to setup any additional required software |
