Generative AI For Data Scientists Training Online

About our Generative AI For Data Scientists online course

Our Generative AI For Data Scientists course is a comprehensive online program designed to provide a deep understanding of Generative AI, its applications, and its significance in today's data-driven world. This course is perfect for beginners looking to step into the world of AI, professionals seeking to upskill, and career switchers aiming to break into the data science field.

Upon completion of the course, learners will gain a strong foundation in Generative AI, giving them a competitive edge in the USA job market, where the demand for skilled data scientists is skyrocketing.

Generative AI For Data Scientists Course key highlights

• Instructor-led/live online sessions
• Practical labs
• Real-world case studies
• Capstone project
• Placement support
• Resume and Interview preparation

Overview of our Generative AI For Data Scientists online Training

This course offers a flexible weekday or weekend schedule with live sessions accompanied by a Learning Management System (LMS). Our lab environment offers hands-on experience with real-world datasets to ensure practical and applicable learning.

Tools & Systems Used:

• Python
• TensorFlow
• Keras
• Google Colab
• Jupyter Notebooks
• Scikit-learn

Objectives of our Generative AI For Data Scientists online training course

• Understand the concept of Generative AI
• Apply Generative AI models to real-world problems
• Develop proficiency in Python and associated AI libraries
• Create, train, and optimize Generative AI models
• Master the practical application of Generative AI in data science
• Prepare for a rewarding career in data science

What you will learn in our Generative AI For Data Scientists classes

• Basics of Generative AI
• Implementation of Generative AI models
• Python programming for AI
• Hands-on experience with TensorFlow and Keras
• Applying Generative AI to real-world datasets
• Career preparation and industry insights

Course syllabus

1. Introduction to Generative AI
   • Basic concepts
   • Types of Generative Models
   • Applications of Generative AI
   • Generative vs Discriminative models
2. Python programming for AI
   • Python basics
   • Data structures and functions
   • Libraries for Data Science
   • Python for Generative AI

Pre-requisites: Basic knowledge of programming. Resources include LMS, session recordings, and templates.

Course details

Pricing: Please contact our instructors for pricing.

Software requirements: OS (Windows/Mac/Linux), Internet speed (min 5mbps), Headset (with microphone), System specs (4GB RAM, 2GHz CPU).

After-course support: Resume help, mock interviews, placement assistance, career counseling. Please contact us at {Email} or click "Speak to an Advisor" for further assistance.

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