Ragini

GEN AI

by Ragini

Experience: 14 Yrs

Generative AI Course

Course Overview

This course provides practical and structured training in generative artificial intelligence (AI). It covers the fundamental concepts, tools, an...

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Course Mode:

Online

Duration:

48 hours

Language:

Kannada, Malayalam, English

Location:

Bangalore

Pricing:

600 INR Per Full Course

Batch Type:

Weekday

Course Experience:

14 Years

Tutor Experience:

14 Years

Course Content

Generative AI Course

Course Overview

This course provides practical and structured training in generative artificial intelligence (AI). It covers the fundamental concepts, tools, and techniques required to understand and implement generative AI solutions effectively. Ideal for students, professionals, and anyone interested in exploring the capabilities of AI, this course is designed to equip learners with the skills necessary to harness the power of generative models.

Participants will gain insights into the applications of generative AI in various fields, such as art, music, and data synthesis. The course is particularly useful for those looking to enhance their understanding of AI technologies and apply them in practical scenarios.

What Students Will Learn

  • Introduction to Generative AI and its significance
  • Understanding key concepts in machine learning and neural networks
  • Exploring different types of generative models, including GANs and VAEs
  • Practical applications of generative AI in various industries
  • Hands-on projects to build and implement generative AI solutions
  • Ethical considerations and challenges in generative AI

By the end of this course, students will have a solid foundation in generative AI, enabling them to approach projects with confidence and clarity.

Teaching Method & Learning Approach

This course will be offered in a hybrid mode, allowing students to engage in both online and offline learning experiences. The teaching style is practice-oriented, focusing on real-world applications of generative AI concepts. Students will participate in interactive discussions, hands-on exercises, and collaborative projects that promote active learning and engagement.

Student engagement methods include group activities, individual projects, and Q&A sessions, ensuring that learners can ask questions and clarify their understanding throughout the course.

Why Learn From This Tutor

Ragini Rajoli is committed to providing teaching clarity and structured guidance throughout the learning process. She emphasizes a supportive environment where students feel encouraged to explore and ask questions. With a focus on practical learning, Ragini ensures that each student receives tailored assistance to aid their understanding and application of generative AI concepts.

Location Context

This course will be conducted in Bangalore, specifically in the vibrant locality of Bangalore, Bangalore. This location is convenient for nearby learners, providing easy access to the classroom and fostering a collaborative learning atmosphere among students.

Benefits & Learning Outcomes

By enrolling in this course, students will experience:

  • Clear understanding of generative AI concepts
  • Increased confidence in applying AI techniques
  • Substantial skill improvement in practical AI applications
  • Preparation for examinations or professional projects involving generative AI

Join us to embark on an exciting journey into the world of generative AI!

Skills

  • Ai
  • Ai & Ml
  • Ai and Data Analytics
  • Ai Ml
  • Generative Adversarial Networks (gans)
  • Ai with Python

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What Students Are Saying

The instructor explained the concepts very clearly. I really enjoyed the course.

Amit Sharma

This course was very informative and helped me understand the topic better.

Priya Das

I liked the structure of the lessons and the examples used were very practical.

Rohan Mehta

FMG-2.0😎

SRV

Ragini

Ragini

Experience: 14 Yrs