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Course Highlights

Following are Highlight of this course

  • EXIN BCS AI Essentials global certification upon passing the exam.
  • Flexible self-paced online learning for convenience.
  • Gain a comprehensive understanding of AI concepts, including machine learning, neural networks, and natural language processing.
  • Explore how AI is applied across industries, from automation and data analysis to customer service and predictive modeling.
  • Enhances career prospects with in-demand AI skills.
  • Comprehensive 40 hours of video lectures and reading materials.
  • Skill Type

  • Course Duration

  • Domain

  • Course Category

  • Nasscom Assessment

  • Placement Assistance

  • Certificate Earned

  • Content Alignment Type

  • NOS Details

  • Mode of Delivery

Course Details

Learning Objectives

What will you learn in EXIN BCS Artificial Intelligence Essentials - powered by CTPL.io?

  • Understand the fundamentals of artificial and human intelligence, including their differences and the history of AI and machine learning.
  • Learn core concepts such as machine learning, data science, hypothesis testing, and experimentation.
  • Explore real-world applications of AI, focusing on its benefits, challenges, risks, and opportunities.
  • Gain insights into the steps and requirements for implementing machine learning solutions effectively.
  • Develop foundational knowledge of machine learning, including intelligent agents, neural networks, and data preparation.
  • Apply machine learning models to solve real-world problems, validate their effectiveness, and optimize performance.
  • Discover future possibilities of AI through collaboration between humans and machines, exploring emerging technologies.
  • Acquire the skills necessary to implement AI-driven solutions and navigate advancements in the AI field.
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Reasons to enrol

Why you should take Complete Course on EXIN BCS Artificial Intelligence Essentials - powered by CTPL.io?

  • Earn the EXIN BCS Artificial Intelligence Essentials, a globally recognized certification that enhances your professional credibility.
  • Gain foundational knowledge of AI, enabling you to understand and contribute to AI-driven projects confidently.
  • Learn about ethical and legal considerations, ensuring responsible AI usage in real-world applications.
  • Understand key AI concepts like machine learning, data management, and generative AI for practical implementation.
  • Explore opportunities for integrating AI into organizational processes for better decision-making and innovation.
  • Build a solid foundation in AI that can be applied across various industries and professional roles.
  • Develop the skills to address AI-related risks, costs, and benefits through structured project management.
  • Prepare for future-ready careers in technology with industry-relevant knowledge and certification.
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Ideal Participants

Who should take Complete Course on EXIN BCS Artificial Intelligence Essentials - powered by CTPL.io?

  • IT Professionals seeking to enhance their knowledge of Artificial Intelligence and its applications.
  • Business Leaders aiming to leverage AI for strategic decision-making and innovation in their organizations.
  • Students and Graduates looking to gain a globally recognized AI certification and build a future-ready skill set.
  • Project Managers interested in understanding AI project management, including risks, costs, and governance.
  • Data Enthusiasts who want to explore data handling, quality, and visualization techniques in AI.
  • Tech Enthusiasts eager to learn about machine learning, generative AI, and robotics concepts.
  • Ethics and Compliance Officers focused on understanding AI's ethical, legal, and regulatory implications.
  • Professionals Transitioning to AI from other fields who need a solid introduction to AI and its business applicatio
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Curriculum

Module 1: Introduction to Artificial and Human Intelligence

  • Artificial Intelligence and Human Intelligence: A Comparative Overview
  • The History of AI and Machine Learning
  • Defining Machine Learning
  • An Introduction to Data Science
  • Hypothesis and Experimentation
  • Beyond IQ and EQ: The Impact of Machine Learning

Module 2: Examples of AI - Benefits, Challenges, and Risks

  • Key Steps and Requirements for Implementing Machine Learning
  • Examples and Benefits of AI
  • Challenges in Artificial Intelligence
  • Identifying AI Risks
  • Exploring Opportunities in AI

Module 3: Introduction to Machine Learning

  • The AI Intelligent Agent
  • Understanding Machine Learning
  • Neural Networks Overview
  • Data Preparation and Model Configuration
  • Evaluating Algorithmic Models
  • Applying and Validating Machine Learning Models for Real-World Use Cases
  • Deploying Models for Practical Applications
  • Model Diagnostics and Performance Optimization
  • Optimizing Existing Statistical Models

Module 4: The Future of Artificial Intelligence - Human and Machine Integration

  • Exploring the Future of AI: Collaboration Between Humans and Machines
  • Understanding Key AI Terms
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skills and tools

Skills You Will Learn

  • Artificial intelligence fundamentals
  • Machine learning, data science
  • Neural networks
  • Algorithm optimization, problem-solving
  • Risk assessment in AI, and human-machine collaboration.
  • Python, Scikit-learn, Pandas
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