ARTIFICIAL-INT.AW1

Artificial Intelligence: Concepts, Industry Applications & Ethics

Learning AI is a smart move…and this AI course for beginners makes it easy and fun.

  • 15 Lecciones interactivas y 130 topics mapped to the official exam objectives

Beginner A tu propio ritmo · 1 año de acceso

15Lecciones interactivas
130Topics
1Vídeos
100Tarjetas didácticas
100Glosario de términos

01 / Habilidades que obtendrás

What you will be able to do

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This AI course for beginners helps you understand how artificial intelligence is changing life, business, and the future.

Explore the basics of AI, machine learning, robotics, and IoT. Learn how startups and big tech companies use AI in finance, healthcare, HR, and more. See the real-world impact of AI…along with its risks, ethics, and future trends.

From history to hands-on applications, this course breaks down AI in simple terms so you can keep up with the tech revolution.

  • Understanding AI Fundamentals: Learn what AI is, how it works, and its real-world applications.
  • Machine Learning Basics: Grasp core concepts like neural networks, reinforcement learning, and data-driven decision-making.
  • AI in Business & Industries: Discover how AI transforms finance, healthcare, HR, and more.
  • Ethics & Risks of AI: Analyze privacy concerns, bias in algorithms, and the social impact of AI.
  • Future of AI & Emerging Trends: Explore where AI is headed and how to stay ahead in an AI-driven world.
  • Critical Thinking on AI Adoption: Evaluate when and how businesses should implement AI solutions.

Course Highlights

  • 15 Lecciones estructuradas Cobertura completa de los objetivos principales del curso
  • 1 año de acceso completo Aprendizaje a tu propio ritmo, accesible en cualquier momento y en todos los dispositivos

02 / Lecciones y laboratorios

See exactly what you will learn and practice

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Plan de estudios

15 Lecciones interactivas · 130 topics
01 Preface
02 Artificial Intelligence: How AI is Reshaping Life and Business 10 topics · 1 Laboratorio en vivo
  • Introduction
  • AI and Robotics
  • History of Development of Artificial Intelligence
  • Lessons from the Technology Revolutions of the Past Three Centuries
  • New Competitive Advantage of AI
  • Hype and Reality of AI
  • Want to Solve a Problem, Think AI
  • Continuous Improvement
  • Will AI Pose a Threat to Sapiens?
  • Concluding Remarks

1 Laboratorio en vivo in this lesson — see the labs panel →

03 Understanding Artificial Intelligence and Associated Technologies 18 topics · 1 Laboratorio en vivo
  • Artificial Intelligence
  • General AI and Narrow AI
  • Different Technologies under Artificial Intelligence
  • What does AI involve?
  • What AI can do?
  • Specific Applications of AI
  • Study of AI – A Multi- Disciplinary Approach
  • AI and its Sub-sets
  • What is Machine Learning (ML)?
  • Reinforcement Learning
  • Neural Networks—Study of Biological Neurons
  • AI-powered Unmanned Aerial vehicles (Drones)
  • Understanding Robotics
  • Push for Robotization
  • Internet of Things (IoT)
  • Application of IoT
  • Advantages of IoT
  • Concluding Remarks

1 Laboratorio en vivo in this lesson — see the labs panel →

04 AI in the ‘Bull’ Run 17 topics · 1 Laboratorio en vivo
  • Artificial Intelligence is making a Rapid Progress
  • Stanford University Report shows AI is progressing fast
  • GPU Performance Speedup
  • Rising Budget for Digital Transformation
  • Lead Indicators show AI in ‘bull’ run
  • Rise in VC Funding
  • Spurt in Merger and Acquisition activity in AI
  • Patent Filings in AI Growing
  • Earnings Call- New Favorite is AI and Machine Learning
  • Indian AI startups are a tipping point
  • Every Company wants to become Intelligent
  • Demand for top talent in AI Skills
  • Business Perception for Job-skilling
  • Publications in AI Research
  • Business Feedback on Impact of AI
  • Engaging with AI is Top Priority for the Tech Industry
  • Conclusion

1 Laboratorio en vivo in this lesson — see the labs panel →

05 Data Engine of Artificial Intelligence 12 topics · 1 Laboratorio en vivo
  • Introduction
  • Safeguards for Making Use of Data
  • Data Security must be robust
  • Policy Issues on Use of Data
  • Big Players have big advantage, but why disturb them?
  • Data ownership versus Control of Data
  • Setting up a Data Authority
  • Tim Burners Lee’s Project for data Storage and Transaction
  • HAT Project
  • Conclusion
  • Annexure to Lesson 4
  • Sanctions

1 Laboratorio en vivo in this lesson — see the labs panel →

03 / Preguntas frecuentes

Preguntas antes de empezar

Contáctanos ↗
How can a beginner start learning AI?

Beginners can learn AI online through courses that cover foundational concepts like machine learning, neural networks, and real-world applications. 

Recommended steps:

  • Start with introductory courses. Explore our catalog to pick the artificial intelligence course that fits your needs. 
  • Practice with interactive tools like hands-on labs and gamified test preps. 
Can I learn AI myself?

Absolutely! Many AI courses for beginners are designed for self-paced learning, such as:

Can I learn AI with a phone?
Yes! You can download the uCertify mobile app for on-the-go learning. 
What is the salary of an AI engineer?
According to the US Bureau of Labor Statistics (2024), AI engineers earn a median salary of $136,620/year, with job growth projected at 23% over the next decade. 

Keep going

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  • 1 año de acceso completo
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