Certified Artificial Intelligence (AI) Expert

Certified Artificial Intelligence (AI) Expert
Certified Artificial Intelligence (AI) Expert™

Certified Artificial Intelligence (AI) Expert™

blockchain-council.org/certifications/certified-artificial-intelligence-ai-expert

Certified Artificial Intelligence (AI) refers to the process of establishing and maintaining trust in the development and deployment of AI systems.

As AI becomes increasingly pervasive in society, there is a growing concern about the potential risks associated with the technology, including biased decision-making, privacy breaches, and safety hazards.

A certification framework can help address these concerns by providing a set of standards and guidelines for the design, development, and use of AI systems.

This can help ensure that AI systems are reliable, secure, and trustworthy, and that they are developed and used in an ethical and responsible manner.

Certification can also help promote innovation in the AI industry by fostering competition and encouraging the adoption of best practices.

By establishing a certification framework, organizations can differentiate themselves in the market by demonstrating their commitment to quality, safety, and ethical considerations.

This can help build trust with customers, investors, and other stakeholders, and ultimately lead to greater adoption of AI technology.

Overall, certified AI has the potential to contribute to the development of a more transparent, accountable, and trustworthy AI ecosystem, which can benefit society as a whole.

Modules Included

  • Intelligent Agents 
  • Advantages and Disadvantages of AI 
  • Challenges of AI

Problem Solving

  • What is Searching?
  • Uninformed Search Algorithm 
  • Informed Search Algorithm 
  • Adversarial Search 
  • Constraint satisfaction problems

Knowledge Representation And Planning

  • Knowledge Representation
  • Knowledge Representation Techniques 
  • Propositional Logic 
  • First Order Logic 
  • Rule-Based System

Probabilistic Reasoning

  • Basic Probability Concepts
  • Markov and Hidden Markov Model
  • Association rules
  • Dimensionality reduction
  • Feature Selection and Feature Extraction

Machine Learning

  • What is Machine Learning? 
  • Types of Learning 
  • Clustering 
  • Classification 
  • Decision Tree 
  • Regression 
  • Support Vector Machine 
  • Reinforcement learning

Communication and Perceiving

  • Natural Language Processing 
  • Perception

Neural Network

  • What is a Neural Network?
  • Types of Neural Network
  • Neural Network Components

Use Cases of AI

  • Artificial Intelligence in Blockchain
  • Artificial Intelligence in Healthcare
  • Artificial Intelligence in IoT

Job scope of Certified Artificial Intelligence expert

A person with Certified Artificial Intelligence expertise is typically responsible for ensuring that AI systems are designed, developed, and deployed in a reliable, secure, and ethical manner. This includes:

  1. Developing and implementing AI certification frameworks: Certified AI professionals create and implement certification frameworks that establish standards and guidelines for the design, development, and use of AI systems. This involves identifying potential risks and developing guidelines to mitigate those risks, as well as establishing best practices for AI development.
  2. Conducting AI audits and assessments: Certified AI professionals perform audits and assessments of AI systems to ensure that they comply with certification standards and guidelines. This involves analyzing AI algorithms, data sets, and processes to identify potential issues and recommending solutions to address them.
  3. Providing AI consulting services: Certified AI professionals may also provide consulting services to organizations that are developing or implementing AI systems. This involves providing guidance on AI best practices, identifying potential risks, and helping organizations establish AI governance frameworks.
  4. Staying up to date with AI developments: Certified AI professionals need to stay up to date with the latest developments in AI technology, including new algorithms, tools, and applications. They must also stay current with legal and ethical considerations related to AI, such as data privacy, bias, and discrimination.

Overall, the job scope of a Certified AI professional involves ensuring that AI systems are designed, developed, and deployed in a way that promotes reliability, security, and ethical considerations. They play a critical role in ensuring that AI technology is developed in a way that benefits society as a whole.

Job prospects for the person with Certified Artificial Intelligence expert

The job prospects for a person with Certified Artificial Intelligence expertise are very promising, given the growing demand for AI professionals in various industries.

Here are some potential job prospects for a person with Certified AI expertise:

  1. AI Engineer: AI engineers design, develop, and maintain AI systems for a wide range of applications, including natural language processing, computer vision, and predictive analytics. They need to have a deep understanding of AI algorithms, programming languages, and data structures, as well as experience in developing and deploying AI systems.
  2. AI Consultant: AI consultants provide guidance and advice to organizations on how to implement AI solutions effectively. They need to have a solid understanding of AI best practices, as well as experience in analyzing business requirements and identifying AI use cases.
  3. Data Scientist: Data scientists analyze large data sets to identify patterns and insights that can be used to inform business decisions. They often work with AI systems to develop predictive models and generate recommendations based on data analysis. They need to have a strong background in statistics, machine learning, and data visualization.
  4. AI Ethicist: AI ethicists focus on the ethical and social implications of AI technology, including issues related to bias, transparency, and accountability. They need to have a solid understanding of ethical frameworks and principles, as well as experience in analyzing the potential impacts of AI on society.

Overall, the job prospects for a person with Certified AI expertise are very promising, given the increasing demand for AI professionals in various industries.

With the right skills and experience, a Certified AI professional can have a rewarding career in a field that is rapidly evolving and shaping the future of technology.

RECOMMENDED LEARNING METHODOLOGY

Recommend allocating 1 hour daily to complete the course in 12 days.

Though you can attempt the online exam anytime as per your convenience, we highly recommend attempting the exam within 10 days of course completion, as the subject will be fresh in your mind, and you get sufficient time to prepare/revise as well.

Exam

Followed by the certification session, an exam will be conducted for a total of 100 marks.

You need to acquire 60+ marks to clear the exam.

If you fail to acquire 60+marks, you can retake the exam after one day.

The maximum number of retakes will be three.

If you fail to acquire 60+ marks even after three attempts, then you need to contact us to get assistance for clearing the exam.


A certified AI expert is an individual who has obtained recognized credentials or certifications that validate their proficiency and knowledge in the field of artificial intelligence.

Such experts have demonstrated expertise in various AI technologies, including machine learning, natural language processing, computer vision, and other related areas.

Who should enroll for Certified Artificial Intelligence (AI) Expert certification?

Individuals who are looking to advance their careers in artificial intelligence or want to validate their knowledge and skills in this field should enroll for Certified Artificial Intelligence (AI) Expert certification.

This may include professionals such as data scientists, machine learning engineers, software developers, business analysts, and other related fields.

Additionally, individuals who are interested in pursuing research in AI or want to start an AI-based venture can also benefit from obtaining this certification.

What does a Certified AI Expert do?

A Certified AI Expert is a trained professional who understands the fundamentals of Artificial Intelligence and possesses the necessary skills and knowledge to design, develop, and implement artificial intelligence solutions that can automate processes, improve decision-making.

What are the domains where AI Experts work?

  • SaaS Industry
  • Education and training industry
  • E-commerce industry
  • Social network, media and communications industry

Certification Benefits

  • Overview of AI and its applications: The certification program provides an overview of AI and its various applications, giving individuals a comprehensive understanding of the field.
  • Insights of the AI technologies and tools: The certification program covers a range of AI technologies and tools, including natural language processing, computer vision, and machine learning algorithms, enabling individuals to gain insights into these technologies.
  • A deep understanding of the fundamentals of machine learning and deep learning: The certification program provides a deep understanding of the fundamentals of machine learning and deep learning, which are critical skills for AI experts.
  • An opportunity to prove your knowledge and skills in the AI space: The certification program provides individuals with an opportunity to demonstrate their knowledge and skills in the AI space, making them more attractive to employers.
  • Career advancement: Certified AI experts have a competitive advantage in the job market, with the potential for higher salaries and more significant job opportunities.

Top Job Roles

  • AI/ML Engineer​
  • Data Scientist​
  • AI/ML Researcher​
  • AI/ML Solutions Architect​
  • AI/ML Data Analyst​
  • AI Prompt Engineer

After completing this certification, you will be able to grasp the technicalities, obtain the appropriate skills, and gain insight of the AI tools and current advancements in the industry.



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