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AI+ Data (AF-2101)

This certification helps professionals understand how to clean, organize, and make sense of data in ways that support useful outcomes. You’ll work with datasets, write real code, and learn how to move from raw numbers to usable insights.

You’ll learn how robots sense their environment, make decisions, and move reliably. From basic programming to control systems and object detection, this course helps you build robots that solve real problems.

Overview

Overview

This course helps you develop practical skills in data processing, model development, evaluation, and system implementation. You’ll build small systems that can recognize patterns, make basic predictions, and handle real-world messiness in the data.

We’ll cover what’s behind common tools like search engines, recommendation systems, and customer feedback analyzers, starting with the basics and moving toward real working examples.

Prerequisites
  • Python programming experience

  • Basic understanding of statistics and probability

  • Some experience working with datasets or spreadsheets

  • No need for deep math or theoretical knowledge

Target Audience
  • Junior developers or analysts transitioning into data work

  • Tech and non-tech professionals who work with data regularly

  • Product managers or business analysts working on data-backed projects

  • Students preparing for careers in applied data science

  • Anyone building internal tools with basic learning features

Exam Blueprint
  • Foundations of Data Science – 5%
  • Foundations of Statistics – 5%
  • Data Sources and Types – 6%
  • Programming Skills for Data Science – 10%
  • Data Wrangling and Preprocessing – 10%
  • Exploratory Data Analysis – 12%
  • Generative AI Tools for Deriving Insights – 6%
  • Machine Learning – 10%
  • Advance Machine Learning – 10%
  • Data-Driven Decision-Making – 10%
  • Data Storytelling – 6%
  • Capstone Project – Employee Attrition Prediction – 10%
FAQs

1. Can the course be taken online?
Yes. The course is available as a virtual instructor-led session with live teaching and hands-on labs.

2. Is in-person training available?
Yes. In-person sessions can be arranged at certified training centers or as private sessions for institutions or corporate teams.

3. Will I receive official course materials?
Yes. All participants receive electronic access to course materials. Printed versions are available upon request.

4. Is there a certificate of completion?
Yes. Upon successful completion of the course, participants will be awarded an AI CERTs official certificate.

Course Outline

Course Introduction

Module 1: Foundations of Data Science
  • Introduction to Data Science
  • Data Science Life Cycle
  • Applications of Data Science
 
Module 2: Foundations of Statistics
  • Basic Concepts of Statistics
  • Probability Theory
  • Statistical Inference

Module 3: Data Sources and Types
  • Types of Data
  • Data Sources
  • Data Storage Technologies

Module 4: Programming Skills for Data Science
  • Introduction to Python for Data Science
  • Introduction to R for Data Science
 
Module 5: Data Wrangling and Preprocessing
  • Data Imputation Techniques
  • Handling Outliers and Data Transformation
 
Module 6: Exploratory Data Analysis (EDA)
  • Introduction to EDA
  • Data Visualization
 
Module 7: Generative AI Tools for Deriving Insights
  • Introduction to Generative AI Tools
  • Applications of Generative AI
 
Module 8: Machine Learning
  • Introduction to Supervised Learning Algorithms
  • Introduction to Unsupervised Learning
  • Different Algorithms for Clustering
  • Association Rule Learning with Implementation
 
Module 9: Advance Machine Learning
  • Ensemble Learning Techniques
  • Dimensionality Reduction
  • Advanced Optimization Techniques

Module 10: Data-Driven Decision-Making
  • Introduction to Data-Driven Decision Making
  • Open Source Tools for Data-Driven Decision Making
  • Deriving Data-Driven Insights from Sales Dataset

Module 11: Data Storytelling
  • Understanding the Power of Data Storytelling
  • Identifying Use Cases and Business Relevance
  • Crafting Compelling Narratives
  • Visualizing Data for Impact

Module 12: Capstone Project – Employee Attrition Prediction
  • Project Introduction and Problem Statement
  • Data Collection and Preparation
  • Data Analysis and Modeling
  • Data Storytelling and Presentation

Optional Module: AI Agents for Data Analysis
  • Understanding AI Agents
  • Case Studies
  • Hands-On Practice with AI Agents
Note : A representative from Datacipher will contact you with further details
Payment Methods

At DataCipher, we offer a variety of payment options for our Fortinet courses. Here are the methods available:

Purchase Order (PO) – If your organization prefers using a purchase order, begin the registration process by clicking the Register button. At the conclusion of the registration form, choose the option “My company will pay for it, please send an invoice with the payment details.” Our training team will then provide an official quote and any necessary additional information that your accounts department might need to issue the PO.

Bank Transfer – DataCipher maintains bank accounts in both the US and Europe, accommodating all standard bank transfer methods such as IBAN/BIC, Swift, ACH, or wire transfer. To make a payment via bank transfer, simply use the Register button to sign up for your selected course.

Credit Card Payments – We accept payments from all major credit cards, including Mastercard, VISA, American Express, Discover & Diners, and Cartes Bancaires. Payments can be made directly through the registration link or by requesting an invoice that includes a web link for online payment. All transactions are secure, and DataCipher does not store any credit card information.

These options are designed to make the registration process as smooth and flexible as possible for all participants.

Status

Guaranteed to Run – DataCipher is committed to running this class unless unforeseen events such as an instructor’s accident or illness occur.

Guaranteed on Next Booking – The course will proceed once an additional student registers.

Scheduled Class – We have scheduled this course and rarely cancel due to low enrollment. We offer a “Cancel No More Than Once” guarantee, ensuring that if a class is canceled due to insufficient enrollment, the next session will run regardless of the number of attendees.

Sold Out – If the class is fully booked, please use our contact form to join the waiting list or to inquire about additional sessions. We’re here to accommodate your training needs and keep you informed of new opportunities.

Half and Full-Day Training

At DataCipher, we offer our training courses in both traditional full-day and convenient half-day formats. Our half-day classes are specifically designed for IT professionals who cannot be away from their workplaces for consecutive full days. This flexible schedule allows participants to dedicate a few hours to learning and then return to their regular work responsibilities.

The curriculum for both the full-day and half-day formats is identical. The primary difference is that the half-day classes spread the coursework over a more extended period, providing a balanced approach to professional education. DataCipher has been successfully running these half-day training sessions for several years, receiving consistently positive feedback from our customers. They appreciate the flexibility and report that the extended timeframe facilitates a deeper understanding of the material, as it gives them more time to absorb and reflect on the information learned.

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