Artificial Intelligence

Quick Java Course

Rating: 5
6897 people enrolled
Duration : 12 weeks
Lessons : 25
Course Instructor: kranthikunta
Last Updated : Jan. 3, 2025, 1:06 p.m.
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₹ 15000/-

₹ 5000/-

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  • Level: Intermediate

  • Duration: 12 weeks

  • Lessons: 25

  • Lifetime Access

  • Access From Any Computer, Tablet or Mobile

About the course

Our AI with Python internship offers a fantastic opportunity to dive deep into the world of artificial intelligence and gain hands-on experience with cutting-edge technologies. By learning Python and its powerful AI libraries like TensorFlow, Keras, and PyTorch, you'll acquire the essential skills needed to build and deploy AI models. This practical experience will not only enhance your technical abilities but also make you highly attractive to employers in fields such as AI development, machine learning engineering, and data science. Through this internship, you'll develop a robust, career-ready skill set, mastering AI techniques such as neural networks, deep learning, and natural language processing. With expert guidance and exposure to real-world applications, you'll be well-equipped to take on high-demand roles and make an impact in the fast-evolving AI industry. This internship is your gateway to unlocking exciting career opportunities and advancing in the world of artificial intelligence.

Course Content

  • AI Evolution & Classification
  • Python Basics & Visualization
  • Key Python Concepts
  • Linear Algebra - Part 1
  • Linear Algebra - Part 2
  • Dot Product
  • Statistics - Part 1
  • Statistics - Part 2
  • Data Visualization Basics
  • Data Visualization Techniques
  • Intro to Machine Learning & Life Cycle
  • Linear Regression - Part 1
  • Linear Regression - Part 2
  • Logistic Regression
  • Decision Tree Algorithm
  • Random Forest Algorithm
  • Unsupervised Learning: K-Means
  • Natural Language Processing - Part 1
  • Natural Language Processing - Part 2
  • AI in Real World & Neural Networks
  • Neural Networks - Part 1
  • Neural Networks - Part 2
  • Neural Networks - Part 3
  • CNN, RNN & Reinforcement Learning
  • LSTM,Reinforcement Learning & Computer Vision
  • Admission Process

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