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Artificial Intelligence & Machine Learning Bootcamp

Artificial Intelligence & Machine Learning Bootcamp

The program is designed to equip fresh graduates with comprehensive knowledge and practical skills in artificial intelligence and machine learning, preparing them for the rapidly evolving tech landscape. The journey starts with Python programming fundamentals, followed by data analysis, machine learning principles (supervised and unsupervised learning), deep learning architectures, natural language processing (NLP), and generative AI techniques. The program also introduces MLOps principles, emphasizing efficient model deployment, continuous integration, and performance measurement using GCP and Vertex AI.

Price:

Sponsored

Duration:

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15 Weeks

Available Seats:

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30 Seats

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Overview Goals Modules Location Notes

Overview

The AI/ML bootcamp is an intensive online learning program designed to enhance the technical and business skills of selected candidates. It follows a rigorous selection process, including technical assessments and HR interviews, and adopts an agile working environment. Learners are organized into teams with dedicated Scrum Masters, fostering self-organization and teamwork. A quality process with peer reviews ensures high-quality output, immersing participants in a simulated work environment. The program is designed to equip fresh graduates with comprehensive knowledge and practical skills in artificial intelligence and machine learning, preparing them for the rapidly evolving tech landscape. The journey starts with Python programming fundamentals, followed by data analysis, machine learning principles (supervised and unsupervised learning), deep learning architectures, natural language processing (NLP), and generative AI techniques. The program also introduces MLOps principles, emphasizing efficient model deployment, continuous integration, and performance measurement using GCP and Vertex AI.

Goals & Objectives

Modules In This Program

ModuleTopic
1 Python Programming for AI/ML.
2 From Data to AI.
3 Machine Learning.
4 Deep Learning.
5 Natural Language Processing (NLP).
6 Generative AI Techniques.
7 Machine Learning Operations (MLOps).
8 Career Boost.

Location

 Online (Virtual)

Important Terms & Notes



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