Crude copy of Emerging Certificate

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Artificial Intelligence / Machine Learning (new!)

Data Analytics (forthcoming)

BlockChain (forthcoming)

Internet Of Things (forthcoming)

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About The Program

We offer Independent certification by a globally reputable organization that is not affiliated with any vendor, focusing on the fundamentals and hands-on practice of key emerging technologies by validating and verifying actual work done by the applicant in one or more useful, real world applications of a specific emerging technology

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Emerging Technologies

Emerging technologies are technologies whose development, practical applications, or both are still in the early stages but are rapidly gaining prominence and more importantly, are increasingly in demand by employers.  However, employers are seeking candidates who not only know the fundamentals and theory behind an emerging technology, but can also demonstrate the ability to apply that technology by building, testing, and deploying real world applications.

While the number of new technologies keeps increasing, we will focus our efforts on those that are in highest demand, starting with AI and machine learning.

AI/ML Certification

AI/ML Core training equips the trainee with the understanding of foundational knowledge in Machine Learning, AI , and analytics, and role of AI in core business decision making process. The AI/ML Certification cover AI/ML foundations in Statistics, Programming and AI/ML core concepts, technologies, and techniques for developing AI/ML models and their production deployment platforms.
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A person with validated and verified:
1) fundamentals of AI/ML.
2) developing at least one chatbot, either in a lab setting or in production

A person validated and verified at the Maker Level, including projects developing at least three chatbots in production for a client or for their employer or at least one-year of directly maintaining a chatbot in production

A person validated and verified at the Expert Level, including projects of developing more than five chatbots in production for a client or for their employer or more than two years of directly maintaining a chatbot in production

Forthcoming

Forthcoming

Forthcoming

Data Science And Analytics

ForthComing

Content Needed

Citizen Data Scientist – A person with validated and verified Fundamentals of AI/ML and Data Science, and in developing at least one of the above use cases, either in a lab setting or in production
Data Scientist – A person validated and verified at the Maker- Citizen Data Scientist level, including projects developing at least two use cases in the above areas, or at least one-year of directly maintaining at least one operating model in production for a client or for their employer for one or more of the above use case.
Senior Data Scientist – A person validated and verified at the Expert- Data Scientist level, including projects developing more than five operating models in production for a client or for their employer or more than two years of directly maintaining any of the above Use Cases
Content Needed
Citizen Data Scientist – A person with validated and verified Fundamentals of AI/ML and Data Science, and in developing at least one of the above use cases, either in a lab setting or in production.
Data Scientist – A person validated and verified at the Maker- Citizen Data Scientist level, including projects developing at least two use cases in the above areas, or at least one-year of directly maintaining at least one operating model in production for a client or for their employer for one or more of the above use case.
Senior Data Scientist – A person validated and verified at the Expert- Data Scientist level, including projects developing more than five operating models in production for a client or for their employer or more than two years of directly maintaining any of the above Use Cases
Content Needed
Citizen Data Scientist – A person with validated and verified Fundamentals of AI/ML and Data Science, and in developing at least one of the above use cases, either in a lab setting or in production
Data Scientist – A person validated and verified at the Maker- Citizen Data Scientist level, including projects developing at least two use cases in the above areas, or at least one-year of directly maintaining at least one operating model in production for a client or for their employer for one or more of the above use case
Senior Data Scientist – A person validated and verified at the Expert- Data Scientist level, including projects developing more than five operating models in production for a client or for their employer or more than two years of directly maintaining any of the above Use Cases
Candidate needs to pass a foundation exam which include the following topics:
  • Mathematics
  • Machine Learning Concepts
  • Programming (Python/R)- Python is preferred.
  • AI/ML Application (Use Cases Scenarios)
  • AI/ Machine Learning Platform (Main Cloud Platform)
  • Customer Engagement (Knowledge of Business Customers Facing) .
  • Applied Statistics
  • ML Algorithms (Knowledge of Applying different Algorithms for appropriate ML Use Cases).
  • Exploratory Data Analysis- EDA (Data Visualization Techniques)
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    BlockChain

    Forthcoming
    Lorem ipsum dolor sit amet, consectetur adipiscing elit. Ut elit tellus, luctus nec ullamcorper mattis, pulvinar dapibus leo.
    A person with validated and verified project of developing at least one blockchain based authentication service provider, either in a lab setting or in production
    A person validated and verified at the Maker level, including projects of developing at least three authentication service providers in production for a client or for their employer, or having more than one-year hands-on experience of directly maintaining a blockchain-based authentication service in production
    A person with validated and verified projects of developing more than five authentication service providers in production for a client or for their employer or have more than two-year hands-on experience of directly maintaining authentication service in production. A Master must have two or more Expert certifications in the same technology.

    Forthcoming

    Forthcoming

    Forthcoming

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    Who Can Apply

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    FAQ'S

    Our program benefits both employers and workers.


    For employers, they will have high confidence that an IIKI Certificate holder can immediately step in and start building real-world applications in a particular technology.


    For people seeking better employment opportunities, an IIKI Certificate will help them stand out from others who hold only academic credentials but little or no proof that they can actually perform the work.

    The main problem we address is that many certifications require rigorous academic study and passing an exam – however, they rarely give any indication that the certificate holder can actually perform the work in a real world environment, including meeting cost, schedule, performance, and quality constraints.


    This results in employers hiring candidates with strong academic knowledge of a given subject, only to discover that the candidate struggles in applying that knowledge in the real world, including building a final product or even a working prototype.


    We address this problem by requiring our certificate candidates to demonstrate their ability to build working products that apply a particular technology.


    Each candidate’s work is carefully reviewed by an examination Board consisting of a minimum of three individuals recognized as experts in their field.

    • (A) Prerequisite which include the following are
    • (I) Candidate needs to pass a foundation exam which include the following topics
    • (1) Mathematics
    • (2) Machine Learning Concepts
    • (3) Programming (Python/R)- Python is preferred
    • (4) AI/ML model pipeline (CI/CD)- MLOPS (Data Engineering) Basics
    • (5) AI/ Machine Learning Platform (Main Cloud Platform)
    • (6) AI/ML Application (Use Cases Scenarios)
    • (7) Customer Engagement (Knowledge of Business Customers Facing)
    • (8) Applied Statistics
    • (9) ML Algorithms (Knowledge of Applying different Algorithms for appropriate ML Use Cases)
    • (10) Exploratory Data Analysis- EDA (Data Visualization Techniques)

    • (B) Min. Passing Score 80% Per each of the above Section and the overall Score
    • (C) Passing (Sections 1, 2, 3, 10, 8, 9) – will qualify Candidate to be Exempted from the Maker Certification exam and Qualify him to Master & Expert Exam
    • (D) Passing all the Sections will Qualify the Student to exempt (Maker and Expert) and to Continue to Final Master Certificate Exam in AI/ML