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Association of Data scientists
Get Accredited from a Global Professional Body
ADaSci, the premier global professional body of data science and machine learning professionals, gives global recognition to talents across the world for their data science skills. An ADaSci credential adds an international edge to the employability of professionals who earn it.
Professional Accreditations for Individuals
Get global recognition for your AI and Data skills. Earn a credential from largest global body in AI and Data Science
Chartered Data Scientist (CDS™)
The highest distinction in the data science profession. Not just earn a charter, but use it as a designation.
Certified Data Scientist - Associate Level
Global recognition of data science skills at the beginner level.
Certified Generative AI Engineer
An upskilling-linked certification initiative designed to recognize talent in generative AI and large language models
Certified Agentic AI System Architect
A certification program integrated with a structured course, designed to validate expertise in architecting agentic AI solutions.
Why Should You Get ADaSci Credentials?
ADaSci focuses on filtering out the best of the best talent in the data science field. It assesses the candidates through rigorous tests and awards credentials to the successful candidates. Having an ADaSci credential not only proves one’s in-depth knowledge of data science skills but also puts recognition on the global platform.
- Proven Skills
- Recognition on Global Platform
- Tag of Best of the Best Talent
- Stand out from the crowd
Compare our Accreditations?
- Level of credential
- Who should take it?
- Required Experience
- Is this a charter?
- Is this a certification?
- Can be used a designation?
- Mode of Delivery
- Exam Format
- Exam Duration
- Validity
- Linked to Course?
- Expert
- Experienced Professionals
- Minimum 2 years
- Yes
- No
- Yes
- Online
- MCQs
- 3 Hours
- Lifetime
- No
- Begineer
- Beginners
- No experience required
- No
- Yes
- No
- Online
- MCQs
- 2 Hours
- Lifetime
- No
- Intermediate
- Beginners to Experienced
- No experience required
- No
- Yes
- No
- Online
- MCQs
- 3 Hours
- Lifetime
- Yes
Corporate training programs on Generative AI
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Our Impact
Lattice - Our ML Journal
Lattice is an international peer-reviewed and refereed journal on machine learning hosted and managed by ADaSci
Continuous learning
ADaSci offers a growing repertoire of online courses that provides you with in-depth knowledge of various areas within machine learning & data science.
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We offer both Individual & Institutional Membership.
Latest from our Blogs
Building GenAI-Based Dynamic Question Generator from Scratch
This article explores building a functional question generator using LangChain, Pydantic, Streamlit, and Python efficiently.
A Hands-On Guide to Building Multi-Agent Systems Using n8n
n8n is an open-source, low-code workflow automation platform that enables seamless integrations between applications using a visual, node-based system.
Deep Dive into Open Source RL for Large Scale LLMs DAPO
DAPO is an open-source RL framework that enhances LLM reasoning efficiency, achieving top-tier AIME 2024 performance with half the training steps.
A Hands on Guide to Compact Vision Language Models using SmolDocling
SmolDocling, a 256M VLM, enables efficient document conversion using DocTags to preserve structure while reducing computation.
A Deep Dive into Chain of Draft Prompting
Chain of Draft (CoD) optimizes LLM efficiency by reducing verbosity while maintaining accuracy. It cuts token usage, lowers costs, and speeds up inference for real-world AI applications.
Mastering Multi-Head Latent Attention
DeepSeek’s MLA reduces KV cache memory via low-rank compression and decoupled positional encoding, enabling efficient long-context processing.
Building Agentic AI Applications using OpenAI Agents SDK
OpenAI’s Agents SDK enables efficient multi-agent workflows with context, tools, handoffs, and monitoring.
Observing and Tracing Multi-Modal Multi-Agent Systems through Portkey
Portkey enables observability and tracing in multi-modal, multi-agent systems for enhanced understanding and development.