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PROFESSIONAL CERTIFICATION

PROFESSIONAL CERT

THE AI GOVERNANCE PRACTITIONER.

Operationalise AI Control. Build the Technical Guardrails

Upon Successful Completion: Earn the Ratiomesh AI Governance Practitioner Credential (AIGP™)

Format: 6 Weeks • Part-Time • Live & Asynchronous Mix Target Audience: Employed Technical Professionals & Senior GRC Leaders. Faculty: Lead Architects from the Ratiomesh Sovereign AI Faculty.

Next workshop

Thu, Jan 29, 2026

9:00 am – 5:00 pm EST

Instructor

imgi_12_dr.henry_-e1754319002779

Dr. Henry J Anderson

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$2,995

Data Analytics Professional Certification

Master analytical thinking, advanced SQL, Python for analytics, BI dashboards, and enterprise storytelling

You will build

  • A fully functional analytics dashboard integrating SQL, Python, and your BI tool of choice deployed and portfolio-ready.

APPLIED MLOPS ASSOCIATE (8 WEEKS)

Learn how to operationalise machine learning: MLflow, Docker, FastAPI, automated pipelines, and cloud deployment.

You will build

  • A production-grade ML API with versioning, monitoring, and automated CI/CD workflows.

APPLIED LLM OPS ASSOCIATE (8 WEEKS)

Master the modern LLM stack: embeddings, vector databases, RAG systems, guardrails, LLM evaluation, and API deployment.

You will build

  • A deployed RAG pipeline using LangChain/LlamaIndex + FAISS/Pinecone, complete with evaluations and documentation.

WHO THIS IS FOR

This is an advanced practitioner track. It is not for complete beginners.

Every LogicSync programme is built on a simple principle:

We deploy a teaching model that blends:

  • Technical GRC Leads: Compliance professionals who need to understand the code to audit the engineers.
  • Senior Data /Analysts / or ML Engineers: Builders who need to add "Governance & Security" to their skillset to lead enterprise AI adoption.
  • Enterprise Architects: Those responsible for designing secure, compliant AI infrastructure for large organizations.
  • Prerequisites: Functional knowledge of Python and basic cloud concepts is highly recommende (Happy to guide you with some intro courses to sharpen you)

WHAT YOU WILL ACHIEVE

  • Build the stack. Don’t just talk about guardrails; code and deploy them.
  • Bridge the gap. Become the rare translator between Legal policy and Engineering reality.
  • Verify your expertise. Earn the Ratiomesh AIGP™ credential—a signal of technical competence in sovereign AI.
  • Future-proof your role. Become indispensable to your current employer by solving their biggest technological risk.
A PREMIUM, INSTRUCTOR-GUIDED ENVIRONMENT.

✔️ Live Technical Workshops: Weekly Zoom sessions focused on code review and architecture, led by practitioners.

✔️ Private Cohort Slack: Direct access to faculty and peers for unblocking technical issues during the week.

✔️ Production-Grade Labs: Work with real tools and frameworks used in enterprise environments.

✔️ The “Builder” Capstone: A portfolio-ready project demonstrating your ability to implement technical governance.

✔️ Corporate-Friendly: Designed to be expensed to an L&D budget. We provide detailed invoices and justification letters for your manager.

Data Analytics & BI

Python (pandas, numpy)

SQL (PostgreSQL)

Power BI or Tableau

Matplotlib / Seaborn

Git + GitHub

Excel (advanced)

Applied MLOps Foundations

Python (pandas, numpy)

MLflow

FastAPI

Docker

Git + GitHub

AWS/GCP basic deployments

Applied LLMOps Foundations

Python (pandas, numpy)

OpenAI / Anthropic / Google Gemini APIs

LangChain or LlamaIndex

Docker

Git + GitHub

FAISS / Pinecone

Vector embeddings

HuggingFace tokenizers

Question Answer

FREQUENTLY ASKED QUESTIONS

Publish your project on GitHub, deploy your app online, and earn a verified certificate + badge.

The Foundation Cert is a 5-hour conceptual overview. This Practitioner Cert is a 6-week technical deep dive. In this program, you will be writing code, configuring APIs, and building a working governance proxy. It is significantly more hands-on.

✔ High-Impact Technical Mastery

✔  Curriculum built around real enterprise problems and modern stacks.

✔  Live Weekly Workshops

✔  Instructor-led sessions for clarity, support, and hands-on execution.

✔  On-Demand Video Modules

✔  Slack Access to Real Engineers

✔  Private Channel Access.

✔  Portfolio-Ready Deliverables

✔  Every track ends with a deployable, public project on GitHub.

✔  Official LogicSync Certification

✔  A verifiable credential you can present to employers and on LinkedIn.

✔ A complete, production-grade build

✔  A documented GitHub repository

✔  A deployed application or API

✔  A structured technical write-up

✔  A project review with your instructor

Graduates receive an official LogicSync Professional Certification, verifiable online and recognised by hiring managers and technical teams.

LogicSync use a consultation-first admissions process to ensure quality and fit. No payment required to apply.

Step 1 — Submit Application

A brief form to understand your goals and background.

Step 2 — Consultation Call

A 1:1 session to align you with the right track and confirm readiness.

Step 3 — Receive Offer of Enrollment

If accepted, you’ll receive your tuition details and onboarding pack.

A production-grade deliverable tailored to your track:

  • Analytics: Advanced analytics dashboard with SQL, Python, and BI tools
  • MLOps: Fully deployed ML API with Docker, FastAPI, and MLflow
  • LLMOps: A working RAG or LLM pipeline with vector search and guardrails

You will publish your work publicly on GitHub.

The Foundation Cert is a 5-hour conceptual overview. This Practitioner Cert is a 6-week technical deep dive. In this program, you will be writing code, configuring APIs, and building a working governance proxy. It is significantly more hands-on.Yes, upon successful completion, you’ll receive an official LogicSync Professional Certification, verifiable online and suitable for portfolios, LinkedIn, and employer verification.

8-week, instructor-led upskilling programmes for professionals wanting practical, industry-aligned expertise in Analytics, MLOps, or LLMOps.

Yes. Basic familiarity with Python or analytics concepts is recommended.

Around 6–8 hours per week, including live workshops and project work.

A production-grade deployed project tailored to your track: advanced dashboard, ML API, or RAG application.

Yes — a verifiable LogicSync Certification upon successful completion.

They are 8-week, high-rigour upskilling programmes designed for working professionals who want to gain practical, industry-relevant skills in Data Analytics, MLOps, or LLMOps, supported by expert instructors and real-world projects.

Yes, you should have basic familiarity with Python or analytics concepts. These certifications are not for absolute beginners; they are for professionals who want to deepen their expertise.