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Master Course in Artificial Intelligence & Deep Learning 3.0
Rating: 4.1 out of 5(343 ratings)
26,460 students

Master Course in Artificial Intelligence & Deep Learning 3.0

Artificial Intelligence (AI),Deep Learning (DL), Robotics, Industry 4.0, Machine Learning, Open Ai, NLP, Neural networks
Created byDr. José Prabhu J
Last updated 7/2025
English
English [Auto],

What you'll learn

  • Learning an introduction to Artificial Intelligence (AI) and Deep Learning
  • Understand how AI & Deep Learning Work, Benefits, Scope, Principles & Types
  • A look at AI & Deep Learning framework & how AI is transforming our lives
  • Overview of HR, banking, healthcare, education, & logistics, artificial intelligence is everywhere
  • Understand the Industry 4.0 and deep learning, How deep learning works in real life, How to become an AI architect

Course content

2 sections • 11 lectures • 2h 43m total length

  • An introduction to Artificial Intelligence (AI) and Deep Learning14:57

    Explore the fundamentals of artificial intelligence and deep learning, including machine learning, neural networks, natural language processing, computer vision, and applications in healthcare and autonomous systems.

  • How AI & Deep Learning Work, Benefits, Scope, Principles & Types13:48

    Explore how artificial intelligence and deep learning work, their benefits, scope, principles, types, and key models such as CNNs, RNNs, GANs, and transformers across industries.

  • A look at AI & Deep Learning framework & how AI is transforming our lives11:21

    Explore how artificial intelligence and deep learning frameworks such as TensorFlow, PyTorch, and Keras enable NLP, image and speech processing, fraud detection, and personalized recommendations.

  • In HR, banking, healthcare, education, & logistics, artificial intelligence is e17:04

    Explore how artificial intelligence transforms human resources, banking, healthcare, education, and logistics through automation, personalized experiences, and data-driven decision making.

  • Industry 4.0 deep learning, How deep learning works in real life & AI architect14:41

    Discover how industry 4.0 uses deep learning for predictive maintenance, quality control, process optimization, and autonomous systems, and learn how to become an AI architect.

  • Business and Big Data13:02

    Explore how big data drives business by analyzing volume, velocity, and variety to enable data-driven decision making, improve customer experience and operations, while navigating ethics and privacy.

  • Human Resources (HR) and Big Data Applications12:42

    Harness big data to transform HR, enabling workforce planning, skill-gap analysis, talent availability, and data-driven recruitment, performance management, and employee engagement.

  • Finance and Big Data Applications13:59

    Explore big data applications in finance to enhance risk assessment and management, real-time monitoring, fraud detection, and personalized customer segmentation and targeting.

  • Big Data in Marketing11:06

    Leverage big data to analyze consumer behavior, predict trends, and tailor highly targeted campaigns. Optimize performance through real-time analytics, social media insights, and enhanced brand engagement.

  • AI and Automation in Data management19:29

    Identify data needs and collect, integrate, and prepare data for AI and automation. Govern data security, monitor models, and apply annotation and labeling within data management systems, with ethical considerations.

  • Emerging Technologies AI, AR, VR and Bigdata among Public Relations21:24

    Explore innovative public relations strategies and future trends using artificial intelligence, augmented and virtual reality, data analytics, and big data to drive personalized, integrated campaigns.

Requirements

  • Basic Ideas and skills of AI and Programming skills of Deep Learning

Description

Master course in Artificial Intelligence and Deep Learning 3.0

Artificial Intelligence (AI)

Artificial Intelligence (AI) has become a buzzword in today's technology-driven world. From self-driving cars and virtual assistants to facial recognition and recommendation algorithms, AI has permeated various aspects of our lives. In this master course, we will explore the fascinating world of artificial intelligence, its potential applications, and the impact it has on industries and society as a whole.

Artificial Intelligence refers to the development of computer systems that can perform tasks that typically require human intelligence. These tasks include speech recognition, problem-solving, decision-making, and learning from experience. AI systems are designed to analyze vast amounts of data, identify patterns, and make predictions or recommendations based on the information available.

Deep learning

Deep learning has emerged as a revolutionary technology in the field of artificial intelligence (AI). With its ability to mimic the human brain and process vast amounts of data, deep learning has revolutionized various industries, from healthcare to finance, and everything in between. In this master course, we will dive into the world of deep learning, exploring its applications, benefits, and its potential to reshape the future.

At its core, deep learning is a subset of machine learning that uses artificial neural networks to process and analyze complex data. Unlike traditional machine learning algorithms that rely on explicit programming, deep learning algorithms are designed to learn from data and make intelligent decisions. By utilizing multiple layers of interconnected nodes, deep neural networks can extract intricate patterns, recognize images, process natural language, and even predict future outcomes.

In this master course, I would like to teach the major topics:

1. An introduction to Artificial Intelligence (AI) and Deep Learning

2. How AI & Deep Learning Work, Benefits, Scope, Principles & Types

3. A look at AI & Deep Learning framework & how AI is transforming our lives

4. In HR, banking, healthcare, education, & logistics, artificial intelligence is everywhere

5. Industry 4.0 and deep learning, How deep learning works in real life, How to become an AI architect

6. Big Data in Business

7. Big Data Applications in Human Resources (HR)

8. Big Data Applications in Finance

9. Big Data in Marketing

10. AI and Automation in Data management

11. Emerging Technologies AI, AR, VR and Bigdata among Public Relations

Enroll now and learn today !

Who this course is for:

  • All UG and PG students of Information technology, Computer Science and Business Students
  • Interested students to learn about the concepts of Artificial Intelligence & Deep Learning

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