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AI Unleashed: A Practical Journey into Applied Artificial In

AI Unleashed: A Practical Journey into Applied Artificial In

Applied Artificial Intelligence
Last updated 12/2024
Hindi

What you'll learn

  • Understand the Foundations of Artificial Intelligence
  • Develop Practical AI Models Using Machine Learning Algorithms
  • Solve Real-World Problems with AI Applications
  • Learn How to Evaluate, Optimize, and Deploy AI Models

Course content

4 sections • 14 lectures • 51m total length
  • 01 Practical-Creating An Expert System4:26
  • 02 Practical-Creating An Expert System for Diseases3:25
  • 03 Practical-Implement Bayes Theorem4:06
  • 04 Practical-Implement Bayes Theorem Example 22:43

Requirements

  • Python, Basic programming

Description

Course Description: "AI Unleashed: A Practical Journey into Applied Artificial Intelligence"

Unlock the true potential of Artificial Intelligence in this comprehensive, hands-on course designed for aspiring AI professionals. "AI Unleashed" takes you beyond the theory and dives deep into the practical applications of AI across various industries. Whether you're a beginner eager to understand AI or an experienced developer looking to sharpen your skills, this course offers a structured approach to learning and applying AI technologies in real-world scenarios.

The course begins with an introduction to the foundations of AI, covering machine learning, deep learning, and natural language processing (NLP). You’ll learn how to implement AI algorithms such as regression, classification, and clustering to solve problems and make predictions. Moving forward, the course delves into deep learning, equipping you with the knowledge and tools to tackle complex tasks like image recognition, speech processing, and more using neural networks, CNNs, and RNNs.

Practical application is at the heart of this course. You’ll work on real-world projects, from predictive models to AI-powered recommendation systems and autonomous systems. You'll also get hands-on experience with popular AI frameworks like TensorFlow and Keras, learning how to build, train, and deploy models efficiently.

Additionally, the course covers Natural Language Processing (NLP), enabling you to build applications that analyze text, process speech, and even generate human-like conversations. We’ll also address AI ethics, data bias, and privacy concerns, preparing you to deploy AI solutions ethically and responsibly.

By the end of the course, you’ll have the skills to create, implement, and deploy AI-driven solutions that solve real-world problems across sectors such as healthcare, finance, and robotics. This course will not only enhance your understanding of AI but will also provide a portfolio of practical projects, showcasing your expertise in Applied Artificial Intelligence.

Who this course is for:

  • Students of Data Science, B. Sc. IT, M. Sc. IT, MCA, BE, Interns, students looking for jobs