Hands-On RAG with AWS Bedrock and S3 Vector Store
Turn HR documents into a smart chatbot using Amazon S3 Vectors and Bedrock. Upload to S3, sync with Bedrock Knowledge Base, and ask questions easily.
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.
ADaSci offers prestigious accreditation for institutions, corporations, and training providers in AI, Data Science, and Analytics. Our accreditation is a mark of excellence, validating the quality, relevance, and industry alignment of your programs, products, and services.
Global Accreditation
- Global Recognition & Credibility
- Industry Validation
- Exclusive Membership Benefits
- Increased Visibility & Reach
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 Agentic AI System Architect
A certification program integrated with a structured course, designed to validate expertise in architecting agentic AI solutions.
Certified Data Engineer
A comprehensive learning and certification path to master and prove expertise in modern data engineering architectures and practices.
Certified Generative AI Engineer
An upskilling-linked certification initiative designed to recognize talent in generative AI and large language models
Certified Vibe Coding Practitioner
Learn AI-driven, no-code application development skills and earn globally recognized certification from the world’s leading AI body.
Certified AI Trainer
A global credential recognizing individuals with proven expertise in AI training, pedagogy, and practical understanding.
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?
- Chartered Data Scientist (CDS™)
- Certified Data Scientist - Associate Level
- 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
Strengthen Critical AI Skills with Trusted Corporate AI Training
Our customized corporate training program on Generative AI provides a unique opportunity to empower, retain, and advance your talent.
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.
Join thousands of members and receive all benefits.
Become Our Member
We offer both Individual & Institutional Membership.
Latest from our Blogs
Information Extraction through Google’s LangExtract
Google’s LangExtract, a Gemini-powered Python library for extracting structured, grounded information.
Fine-Tuning LLMs with Reinforcement Learning
Explore how Reinforcement Learning fine-tunes LLMs. This guide demystifies PPO, RLHF, RLAIF, DPO, and GRPO, explaining mechanisms, benefits, and use cases for aligning AI with human preferences.
Building a Screen-Aware AI with ScreenEnv and Tesseract
Learn how to build screen-aware AI using ScreenEnv and Tesseract for dynamic, real-time screen content understanding.
The CXO’s Role in Building Agentic AI-Ready Talent
CXOs must lead talent transformation to build Agentic AI-ready teams through upskilling, mentoring, and applied learning.
Redefining Governance, Risk and Compliance for AI Systems with GRC 2.0
As AI systems become more autonomous, organizations face new governance and compliance challenges. This article explores modern GRC approaches focused on explainability, traceability, and ethical alignment.
Building A Multi-Agent AI Marketing Assistant with AWS
Generate powerful ad copies with AI! Learn to build a Streamlit app using LlamaIndex & Gemini, then deploy it on AWS EC2 with Docker.
A Practitioner’s Guide to Agent Communication Protocol (ACP)
IBM’s Agent Communication Protocol (ACP) is an open standard for seamless agent-to-agent communication.
Mastering Data Compression with LLMs via LMCompress
LMCompress uses large language models to achieve state of the art, lossless compression across text, image, audio, and video by approximating Solomonoff induction.
