CertNexus - Certified Artificial Intelligence Practitioner

Varaktighet:

Bara 4 dagar

Metod:

Klassrum / Uppkopplad / Hybrid

Nästa datum:

15/7/2024 (Måndag)

Overview

This accelerated Certified Artificial Intelligence Practitioner™ (CAIP) course, is an in-demand, fast-growing training program and certification designed for data practitioners desiring to get equipped with vendor-neutral, cross-industry knowledge of Artificial Intelligence (AI) concepts and skills. It enables you to select, train, and implement Machine Learning solutions.

Artificial intelligence (AI) and machine learning (ML) have become essential parts of the toolset for many organizations. When used effectively, these tools provide actionable insights that drive critical decisions and enable organizations to create exciting, new, and innovative products and services. This course shows you how to apply various approaches and algorithms to solve business problems through AI and ML, all while following a methodical workflow for developing data-driven solutions.

The Certified Artificial Intelligence Practitioner™ (CAIP) has emerged as the industry standard for those desiring to confirm their AI and ML skills.

To be an effective Machine Learning Practitioner, you require hands-on practice. CertNexus CAIP training covers artificial intelligence concepts while providing ample opportunities to practice the required skills of a ML professional.

In just 4 days, you’ll learn to develop AI solutions for business problems. You’ll also learn how to:

Solve a given business problem using AI and ML.
Prepare data for use in machine learning.
Train, evaluate, and tune a machine learning model.
Build linear regression models.
Build forecasting models.
Build classification models using logistic regression and k -nearest neighbour.
Build clustering models.
Build classification and regression models using decision trees and random forests.
Build classification and regression models using support-vector machines (SVMs).
Build artificial neural networks for deep learning.
Put machine learning models into operation using automated processes.
Maintain machine learning pipelines and models while they are in production.

At the end of this course, you’ll sit the CertNexus exam, and achieve your Certified Artificial Intelligence Practitioner™ (CAIP) certification. Through Firebrand’s Lecture | Lab | Review methodology, you’ll get certified at twice the speed of the traditional training and get access to courseware, learn from certified instructors, and train in a distraction-free environment.

Audience

This course is ideal for:

Practitioners who are seeking to demonstrate a vendor neutral, cross-industry skill set within AI and with a focus on ML that will enable them to design, implement, and hand off an AI solution or environment.
Those looking to build upon their knowledge of the data science process so that they can apply AI systems, particularly machine learning models, to business problems.
Data science practitioner, software developer, or business analyst looking to expand their knowledge of machine learning algorithms and how they can help create intelligent decision making products that bring value to the business.

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Se priser

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Godkänn första gången eller träna om gratis. Detta är vår garanti. Vi är övertygade om att du kommer klara kursen på första försöket. Men om inte, kom tillbaka inom ett år och betala endast för boende, examina och tillkommande kostnader
Du kommer lära dig mer. En dag med en traditionell utbildningsleverantör brukar generellt pågå från kl. 9 till 17, med en lång paus för lunch. Med Firebrand Training får du minst 12 timmar/dag av kvalitativ inlärningstid med din instruktör
Du kommer lära dig snabbare. Sannolikheten är att du har en annan inlärningsstil än de omkring dig. Vi kombinerar visuella, auditiva och taktila stilar för att leverera materialet på ett sätt som säkerställer att du lär dig snabbare och enklare
Du kommer studera med de bästa. Vi har varit med på Training Industrys lista "Top 20 IT Training Companies of the Year" varje år sedan 2010. Förutom många fler utmärkelser har vi utbildat och certifierat över 100 000 yrkesverksamma

* Endast för boende på plats. Gäller inte för onlinekurser
** Vissa undantag gäller. Vänligen se Exam Track eller prata med våra experter

Benefits

Är du redo för kursen? Ta ett KOSTNADSFRITT test för att mäta och utvärdera din kunskap.

Kostnadsfritt Test

Curriculum

Module 1: Solving Business Problems Using AI and ML
- Identify AI and ML Solutions for Business Problems
- Formulate a Machine Learning Problem
- Select Approaches to Machine Learning

Module 2: Preparing Data
Collect Data
Transform Data
Engineer Features Topic D: Work with Unstructured Data

Module 3: Training, Evaluating, and Tuning a Machine Learning Model
Topic A: Train a Machine Learning Model
Topic B: Evaluate and Tune a Machine Learning Model

Module 4: Building Linear Regression Models
Build Regression Models Using Linear Algebra
Build Regularized Linear Regression Models
Build Iterative Linear Regression Models

Module 5: Building Forecasting Models
Topic A: Build Univariate Time Series Models
Topic B: Build Multivariate Time Series Models

Module 6: Building Classification Models Using Logistic Regression and k-Nearest Neighbor
Train Binary Classification Models Using Logistic Regression
Train Binary Classification Models Using k-Nearest Neighbour
Train Multi-Class Classification Models
Evaluate Classification Models Topic E: Tune Classification Models

Module 7: Building Clustering Models
Build k-Means Clustering Models
Build Hierarchical Clustering Models

Module 8: Building Decision Trees and Random Forests
Build Decision Tree Models
Build Random Forest Models

Module 9: Building Support-Vector Machines
Build SVM Models for Classification
Build SVM Models for Regression

Module 10: Building Artificial Neural Networks
Build Multi-Layer Perceptrons (MLP)
Build Convolutional Neural Networks (CNN)
Build Recurrent Neural Networks (RNN)

Module 11: Operationalizing Machine Learning Models
Deploy Machine Learning Models
Automate the Machine Learning Process with MLOps
Integrate Models into Machine Learning Systems

Module 12: Maintaining Machine Learning Operations
Secure Machine Learning Pipelines
Maintain Models in Production

Exam Track

At the end of this accelerated course, you’ll sit the following exam at the Firebrand Training centre, covered Certification Guarantee:

Certified Artificial Intelligence Practitioner™ (CAIP) Exam AIP-210

Duration: 120 Minutes
Format: Multiple Choice/Multiple Response
Number of questions: 80
Passing score: 60%

What's Included

Prerequisites

Before attending this accelerated course, you should have:

Several years of experience with computing technology, including some aptitude in computer programming.

Be familiar with the concepts that are foundational to data science, including:
- The overall data science and machine learning process from end to end: formulating the problem; collecting and preparing data; analysing data; engineering and pre-processing data; training, tuning, and evaluating a model; and finalizing a model.
- Statistical concepts such as sampling, hypothesis testing, probability distribution, randomness, etc.
- Summary statistics such as mean, median, mode, interquartile range (IQR), standard deviation, skewness, etc.
- Graphs, plots, charts, and other methods of visual data analysis.
Be comfortable writing code in the Python programming language, including the use of fundamental Python data science libraries like NumPy and pandas.

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Kundreferenser

Här är Firebrand Training recension avsnittet. Sedan 2001 har vi utbildat exakt 134.561 studenter och proffs och bett dem alla att recensera vår Accelerated Learning. För närvarande har, 96,22% sagt att Firebrand överträffade deras förväntningar.

Läs recensioner från avslutade accelereradekurser nedan eller besök Firebrand Stories för skriftliga och videointervjuer med våra tidigare alumni.

"Interesting content, quick interesting lab exercises"
A.B.. (15/4/2024 (Måndag) till 17/4/2024 (Onsdag))

"Great content and training material"
R.E., Pervade Software Ltd. (2/4/2024 (Tisdag) till 4/4/2024 (Torsdag))

"Good session"
Jobi Joseph, Barclays bankpc. (26/2/2024 (Måndag) till 28/2/2024 (Onsdag))

"Very thorough coverage. At a good pace. Great tutor."
Craig Neal, Care Quality Commission. (26/2/2024 (Måndag) till 28/2/2024 (Onsdag))

"Trainer is very good at explaining in detail information if he doesn't know he isn't afraid to check on the spot to deliver right away."
Anonymous, Lloyds. (29/1/2024 (Måndag) till 31/1/2024 (Onsdag))

Kursdatum

CertNexus - Certified Artificial Intelligence Practitioner
Startar	Slutar	Tillgänglighet	Registrera
15/7/2024 (Måndag)	18/7/2024 (Torsdag)	Väntelista
30/9/2024 (Måndag)	3/10/2024 (Torsdag)	Platser tillgängliga	Registrera
3/12/2024 (Tisdag)	6/12/2024 (Fredag)	Platser tillgängliga	Registrera