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CertNexus - Certified Artificial Intelligence Practitioner

Kesto

Kesto:

Vain 4 päivän

Menetelmä

Menetelmä:

luokkahuone / Online / Hybridi

Seuraava päivä

Seuraava päivä:

15/7/2024 (Maanantai)

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.

Katso hinnat nyt

 Katso hinnat

8 syytä, miksi kannattaa hankkia Firebrand Trainingiltä:

  1. Koulutuksen ja todistuksen saaminen kestää vain 4 päivän. Meidän kanssamme saat -koulutuksen ja -todistuksen ennätysajassa. Todistuksen ansaitset koulutuskeskuksessamme osana intensiivistä ja nopeutettua koulutusta.
  2. Hintaan sisältyy kaikki.Kertamaksu kattaa kaikki kurssimateriaalit, kokeet, kuljetuksen, majoituksen ja ateriat ja tarjoaa kustannustehokkaimman tavan hankkia koulutus ja todistus. Ilman mitään lisäkustannuksia.
  3. Suorita tutkinto ensimmäisellä kerralla tai kertaa koulutus ilmaiseksi. Tämä on takuumme. Olemme varmoja, että läpäiset -kurssin ensimmäisellä kerralla. Mutta jos näin ei käy, voit tulla takaisin vuoden kuluttua ja maksaa vain majoituksesta ja kokeista. Kaikki muu on ilmaista.
  4. Opit enemmän.Päivä perinteisen koulutuksen tarjoajan kanssa on yleensä klo 9–17, mihin sisältyy pitkä lounastauko. Firebrand Trainingiltä saat vähintään 12 tuntia päivässä keskittynyttä ja häiriötöntä laatukoulutusaikaa opettajasi kanssa.
  5. Opit nopeammin. Yhdistämme 3 eri oppimistyyliä (visuaalisen|kuuloon perustuvan|kosketukseen perustuvan) tarjotaksemme materiaalin tavalla joka varmistaa, että opit nopeammin ja helpommin.
  6. Opiskelet huippujen kanssa.Olemme kouluttaneet ja sertifioineet 134.561 ammattilaista ja olemme kumppaneita kaikkien alan suurien nimien kanssa ja olemme saaneet lukuisia palkintoja, mm. Microsoftin Danmarki Vuoden koulutuspartneri 2010, 2011, 2012 ja 2013, Institue of IT Trainingin ”Training Company of the Year 2006, 2007, 2008” Englannissa, ISC(2):n ”Highest Performing Affiliate of the Year 2009 & 2010 – EMEA” sekä EC-Councilin ”Accredited Training Centre of the Year 2010 og 2011”, ”Newcomer of the Year 2011” ja ”Instructors Circle of Excellence”.
  7. Opit enemmän kuin pelkän teorian. Olemme kehittäneet kurssia edelleen käyttämällä laboratorioita, esimerkkitapauksia ja harjoittelukokeita varmistaaksemme, että osaat soveltaa uutta tietoa työympäristöön.
  8. Opit parhailta. Ohjaajamme kurssilla ovat alan parhaita. He tarjoavat ainutlaatuisen yhdistelmän asiantuntemusta, kokemusta ja intohimoa opetukseen.

Benefits

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.

OR

  • 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.

Arvioinnit

Olemme kouluttaneet kymmenen vuoden aikana yli 134.561 opiskelijaa. Heitä kaikkia on pyydetty arvioimaan pikakurssimme. Tällä hetkellä 96,41% on sitä mieltä, että Firebrand on ylittänyt heidän odotuksensa:

"Interesting content, quick interesting lab exercises"
A.B.. (15/4/2024 (Maanantai) - 17/4/2024 (Keskiviikko))

"Great content and training material"
R.E., Pervade Software Ltd. (2/4/2024 (Tiistai) - 4/4/2024 (Torstai))

"Good session"
Jobi Joseph, Barclays bankpc. (26/2/2024 (Maanantai) - 28/2/2024 (Keskiviikko))

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

"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 (Maanantai) - 31/1/2024 (Keskiviikko))

Kurssipäivämäärät

CertNexus - Certified Artificial Intelligence Practitioner

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15/7/2024 (Maanantai)

18/7/2024 (Torstai)

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30/9/2024 (Maanantai)

3/10/2024 (Torstai)

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