Gen AI Certification Exams

Many software vendors now provide proctored certification exams focused on Generative AI, including:

  1. Oracle
  2. Databricks 
  3. NVIDIA 
  4. AWS

OCI 2024 Generative AI Professional (1Z0-1127-24)

The Oracle Cloud Infrastructure 2024 Generative AI Professional (1Z0-1127-24) certification exam is designed for Software Developers, Machine Learning/AI Engineers, Gen AI Professionals who have a basic understanding of Machine Learning and Deep Learning concepts, familiarity with Python and OCI. The free courseware and the exam are largely vendor neutral.

Oracle Cloud Infrastructure 2024 Generative AI Professional (1Z0-1127-24)

The exam topics and their weightage are listed below -

Objectives % of Exam
Fundamentals of Large Language Models (LLMs) 20%
Using OCI Generative AI Service 45%
Building an LLM Application with OCI Generative AI Service 35%

Databricks Certified Generative AI Engineer Associate

The Databricks Certified Generative AI Engineer Associate certification exam assesses an individual’s ability to design and implement LLM-enabled solutions using Databricks.

Topics % of Exam
Design Applications 14%
Data Preparation 14%
Application Development 30%
Assembling and Deploying Apps 22%
Governance 8%
Evaluation and Monitoring 12%

The Databricks Exam Guide [^PDF] has more details including sample questions.

NVIDIA  Certified Associate Generative AI LLMs certification (NCA-GENL)

The NVIDIA  Certified Associate Generative AI LLMs certification (NCA-GENL) is an entry-level credential that validates the foundational concepts for developing, integrating, and maintaining AI-driven applications using generative AI and large language models (LLMs) with NVIDIA solutions. 

The following topics are covered -

Exam Topic % of Exam
Core Machine Learning and AI Knowledge 30%
Software Development 24%
Experimentation 22%
Data Analysis and Visualization 14%
Trustworthy AI 10%

AWS Certified AI Practitioner

AWS certification exams are of the following types:

  • Foundational
  • Associate
  • Professional
  • Specialty
AWS Certified AI Practitioner Foundational certification exam
Beta registration for the AWS Certified AI Practitioner Foundational certification exam opens from August 13, 2024. 

Domain % of Exam
Fundamentals of AI and ML 20%
Fundamentals of Generative AI 24%
Applications of Foundation Models 28%
Guidelines for Responsible AI 14%
Security, Compliance, and Governance for AI Solutions 14%

Check the Exam Guide [^PDF] for more details

Microsoft has a Azure AI Fundamentals Certification Exam (AI-900) but the weightage for Generative AI is just 15–20%.

Also see - Free AI, Generative AI Online Courses

Comments

Post a Comment

Popular posts from this blog

Workshop Highlights - Build AI Apps using Google AI Studio & Gemini AI

Image
Harsh Dattani's ~60-minute walkthrough of Google AI Studio during the workshop " Build AI Apps using Google AI Studio & Gemini AI " provides all the essentials you need to get started. Topics covered: Google AI Studio -browser-based IDE for prototyping with generative models Gemini AI - lets you access the latest generative models from Google API key - prerequisite for building apps with Gemini AI Prompt engineering Prompt Gallery  - examples of what's possible with Gemini models Fine tuning  - provides a mechanism for curating output when you have a small dataset of input/output examples System Instructions - for developers to manage prompts  idx.dev - cloud-based IDE for building Web, Android apps Focus of the workshop is on the inner loop of software development Google AI Studio provides several interfaces for prompts that are designed for different use cases Google AI Studio is a good starting point for beginners and small-scale projects, while Vertex AI St
Read more

AI - Reflections & Perspectives

Image
Image generated by AI * "AI is comparable in scale to the Industrial Revolution or electricity, or even the wheel". - Geoffrey Hinton, Godfather of Deep Learning * "The hottest new programming language is English" -  Andrej Karpathy * "Treat AI assistants as a slightly-drunk knowledgeable friend" - Richard Seroter * "No matter how valuable your skills are in the market today, they may or may not be highly valued by the market over the course of your lifetime. With artificial intelligence (AI) threatening to devalue entire categories of human work, we need to be more purposeful in recognizing a key distinction: the market value of a set of skills is not the same as its human value.  ...the US has become a service economy.  Many people still don’t recognize caregiving, for example — whether for the very young or very old — as a particularly skilled profession. This is mistaken. Anyone who has ever had a teacher who changed the course of their life simpl
Read more

This Week I Learned - Week #43 2024

Image
This Week I Learned -  * Claude.ai, Replit.com, Bolt.new, V0.dev, Pythagora.ai and a few other tools write and deploy code just based on a prompt.   * "We ( Thoughtworks ) see some antipatterns starting to appear in the hyperactive AI space, including the mistaken notion that humans can fully replace pair programming with AI as the companion, overreliance on coding assistance suggestions, code quality issues with generated code and faster growth rates of codebases. AI tends to solve problems via brute force rather than use abstractions, such as using dozens of stacked conditionals rather than the Strategy design pattern. The code quality issues in particular highlight an area of continued diligence by developers and architects to make sure they don’t drown in "working-but-terrible" code. Thus, team members should double down on good engineering practices — such as unit testing, architectural fitness functions and other proven governance and validation techniques — to ma
Read more