Artificial Intelligence Certification

Guide to Artificial Intelligence

The field of Artificial Intelligence (AI) continues to gain immense prominence in the business world as it constantly evolves. Recognizing the increasing demand for AI expertise, the IABAC Artificial Intelligence certification program was introduced. This program aligns with the guidelines of the EDISON® - European Commission initiative, which aims to establish a comprehensive Data Science Body of Knowledge.

The IABAC Artificial Intelligence certification framework offers a range of certifications to cater to individuals at various stages of their AI journey. Whether you are a beginner or an experienced professional specializing in advanced AI domains, this program covers a broad spectrum of knowledge and skills.

Acquiring an IABAC artificial intelligence certificate validates your understanding of fundamental AI concepts and showcases your proficiency in utilizing state-of-the-art tools to manage and execute AI projects in accordance with global best practices. This certification serves as a testament to your expertise required to excel in the rapidly evolving field of AI.

To ensure the credibility of the certification, the IABAC certification scheme follows rigorous norms. Candidates undergo a thorough pre-exam validation process, including identity verification and prerequisite checks. The online exams are conducted directly by IABAC or through authorized partners worldwide, ensuring consistent and reliable evaluation.

By enrolling in an artificial intelligence course and pursuing the IABAC Artificial Intelligence certification, you can enhance your professional credentials and stay at the forefront of the dynamic AI field. This certification equips you with the knowledge and skills necessary to undertake Artificial intelligence projects and contribute to the advancements in artificial intelligence.


Not sure about your success rate?

Artificial Intelligence Certification

Artificial Intelligence Foundation (AIF )

The Artificial Intelligence Foundation Certification is a comprehensive program designed to provide learners with a strong foundation in AI concepts, methodologies, and tools.

Certified Machine Learning Associate (CMLA)

The Certified Machine Learning Associate Certification is a recognized credential that validates an individual's expertise in the fundamentals of machine learning.

Certified Artificial Intelligence Expert (CAIE)

IABAC Certified Artificial Intelligence Expert certification is designed to equip individuals with the specialized skills and knowledge required to excel in this technology-driven era.

Certified Deep Learning Expert (CDLE )

Harnessing the potential of artificial intelligence (AI) has become crucial for businesses across all industries.

Certified Natural Language Processing Expert (CNLPE)

Becoming a Certified Natural Language Processing Expert empowers individuals to leverage this transformative technology to its fullest potential.

Artificial Intelligence Certified Executive (AICE )

Artificial intelligence (AI) has become a game-changing force in the rapidly evolving world of technology.

Certified Computer Vision Expert (CCVE )

IABAC Certified Computer Vision Expert Certification stands as a beacon of excellence in this rapidly evolving domain.

The Benefits

International Credential

IABAC is a widely recognized credentialing framework based on European commission funded EDISON Data Science body of knowledge. This credential provides distinction as high potential certified Data Science Professionals enabling better career prospects.

Global Opportunities

IABAC certification provides global recognition of the relevant skills, thereby opening opportunities across the world.


IABAC Certification designed to cater to the job requirements of all experience levels and specializations, which suits roles aligned with the industry standards.

Relevant and updated

IABAC CPD (Continuing Professional Development) program enables credential holders to update their skills and stay relevant to the industry requirements.

Higher Salaries

On an average, a certified professional earns 30-40% more than their non-certified as per recent study by Forbes.

Summits & Webinars

In addition, IABAC members will have exclusive access to seminars and Data Science summits organised by IABAC partners across the globe.

Get Training from Authorized Training Provider (ATP)

What is Artificial Intelligence?

Artificial Intelligence (AI) is the field of computer science that focuses on creating intelligent machines that can think and learn like humans.It involves developing algorithms and models that enable computers to perceive, reason, and make decisions. AI is used in various applications, such as voice assistants, autonomous vehicles, and data analysis. It helps improve productivity and accuracy in many industries by analyzing data, identifying patterns, and adapting to new situations. In simple terms, AI is about creating smart machines that can perform tasks and make decisions on their own, similar to how humans do. 

What are the Tools used for Artificial Intelligence?


  • TensorFlow: A popular open-source machine learning library by Google.
  • PyTorch: An easy-to-use machine learning framework with dynamic computational graphs.
  • Keras: A high-level neural networks API for building and training models.
  • Scikit-learn: A Python library offering a variety of machine learning algorithms.
  • Jupyter Notebook: An interactive web application for creating and sharing code, visualizations, and text. 

What are the Skills required for Artificial Intelligence?

To excel in tThe field of Artificial Intelligence (AI), several essential skills are required. A strong foundation in mathematics and statistics is crucial for understanding the algorithms and models used in AI. Proficiency in programming languages, particularly Python, is necessary for implementing and developing AI systems. Expertise in machine learning and deep learning frameworks, such as TensorFlow or PyTorch, is vital. A sound understanding of data analysis and data visualization is also beneficial for extracting insights from large datasets. Critical thinking, problem-solving abilities, and the capacity to work collaboratively are essential skills for effectively tackling complex AI challenges and advancing the field.

How can I get Certification in Artificial Intelligence?


  • Find reputable organizations or institutions offering AI certification programs.
  • Enroll in a program that covers essential AI concepts and tools.
  • Complete the coursework, including lectures, assignments, and projects.
  • Gain practical hands-on experience and collaborate with peers.
  • Prepare for and pass assessments or exams to showcase your proficiency. 

How can I Improve my skills in Artificial Intelligence?


  • Master the Math: Build a strong foundation in key mathematical concepts like linear algebra and calculus.
  • Learn Programming Languages: Familiarize yourself with AI-friendly languages like Python and R.
  • Hands-On Projects: Work on practical AI projects to gain valuable experience and apply your knowledge.
  • Stay Updated: Keep up with research papers, attend conferences, and engage with online communities to stay current with AI trends.