Koenig Original Guaranteed-to-Run

Time Series: ARIMA, SARIMA & STL Decomposition

Vertex Forecasting and Time Series in Practice by Koenig Original equips data scientists and ML engineers with advanced forecasting techniques using Google Cloud’s Vertex AI, solving the critical challenge of inaccurate demand and trend predictions. With global demand for machine learning skills growing by 75% year-over-year, this course delivers hands-on mastery in time series modeling, AutoML forecasting, and end-to-end deployment workflows. Professionals gain actionable skills to build scalable, production-ready forecasting solutions that drive data-driven decision-making across retail, finance, and supply chain sectors.

This course prepares learners for the Professional Machine Learning Engineer certification, reinforcing skills validated by Google Cloud. Koenig’s Guaranteed-to-Run scheduling ensures flexible, on-demand access to live training, combined with 30-day lab access for real-world practice. Graduates emerge ready to deploy intelligent forecasting systems that adapt to market changes and deliver measurable business impact.

56 Hours (7 Days)
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Course Overview

The Vertex Forecasting and Time Series in Practice course by Koenig Original is designed for data scientists, machine learning engineers, and cloud solution architects seeking to master predictive modeling using Google Cloud’s advanced AI tools. While no formal certification exam is tied directly to this Koenig Original program, it aligns with Google Cloud’s AI and machine learning best practices, preparing professionals for real-world forecasting challenges. With global enterprises increasingly adopting cloud-based forecasting solutions—73% of retail and supply chain organizations now leveraging AI-driven demand planning—this course equips learners with in-demand skills to drive data-informed decisions across industries.

Participants gain hands-on experience with key Google Cloud technologies including Vertex AI, BigQuery ML, Vertex AI Workbench, Cloud Storage, and Looker Studio within a live lab environment. Students configure managed datasets, train AutoML forecasting models, and deploy end-to-end prediction pipelines using Python SDKs in Jupyter notebooks on Vertex AI Workbench. A core project involves building a retail demand forecasting solution, where learners preprocess time series data, optimize model performance using metrics like MAE, and automate workflows with Vertex AI Pipelines, simulating real production environments.

This training enhances career readiness for roles in AI/ML engineering and data science, fields where professionals with cloud forecasting expertise earn average salaries of $135,000 in the U.S., according to 2024 industry reports. Koenig Original differentiates itself with Guaranteed-to-Run scheduling and 1-on-1 training options, ensuring personalized learning and immediate application of skills. Graduates emerge prepared to implement scalable forecasting solutions on Google Cloud, positioning them for advancement in high-growth areas like MLOps, predictive analytics, and cloud AI architecture.

What You'll Learn

✓Implement advanced time series decomposition and feature engineering techniques within the Vertex Forecasting and Time Series in Practice by Koenig Original framework.
✓Configure AutoML Forecasting pipelines and BigQuery integration to execute high-performance predictive workflows in Vertex AI.
✓Automate data ingestion and preprocessing pipelines to format datasets for Vertex AI Forecasting, ensuring compliance with schema requirements.
✓Execute model training jobs using Vertex AI SDK, optimizing forecast horizons and evaluating performance via WAPE and RMSE metrics.
✓Deploy Vertex AI endpoints to serve forecasting models, enabling low-latency, real-time inference for business applications.
✓Automate model monitoring to detect drift and trigger scheduled retraining jobs, maintaining long-term prediction accuracy in Vertex Forecasting.

Skills You'll Gain

Time Series Analysis Vertex AI Console BigQuery Integration Data Preparation Vertex Forecasting Model Training ARIMA Models Vertex AI Pipelines Hyperparameter Tuning Model Evaluation Forecast Accuracy Vertex AI Endpoints Batch Predictions Seasonality Detection Anomaly Detection Vertex AI Deployment

Prerequisites

Recommended knowledge before taking this course
  • Basic understanding of statistical concepts and methods
  • Familiarity with data analysis techniques and tools
  • Proficiency in Python or R programming language for data manipulation and analysis
  • A foundational knowledge of time series data and its characteristics
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Certification Exam

Everything you need to know about the Time Series: ARIMA, SARIMA & STL Decomposition certification exam

Exam Details
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Format
Multiple choice, labs & case studies
Questions
Duration
Passing Score
Validity
Retake Policy
N/A
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Time Series: ARIMA, SARIMA & STL Decomposition

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Course Curriculum

Structured learning with hands-on labs and real-world scenarios

1
Day 1– Vertex Forecasting and Time Series Fundamentals
Master Vertex Forecasting course goals Vertex AI Forecasting platform overview Sequence models architectural concepts Advanced time series pattern analysis Forecasting notation and industry terminology Classifying modern sequence model types Recognizing critical time series components Predictive modeling foundations for business
2
Day 2– Google Cloud Forecasting Architecture
Navigate Google Cloud forecasting tools Compare BigQuery ML vs Vertex AI Master AutoML forecasting workflow steps Evaluate Vertex AI business benefits Identify cloud-native forecasting options Review retail demand forecasting cases Analyze optimal forecasting model selection Hands-on Vertex AI console navigation
3
Day 3– Data Preparation for Vertex AI
Prepare datasets for Vertex AI Convert raw data formats efficiently Engineer robust time series features Ingest data via BigQuery pipelines Apply professional data normalization techniques Resolve missing data point issues Best practices for secure uploads Structure high-performance time series datasets
4
Day 4– Model Training and Evaluation Metrics
Configure precise context window settings Define accurate forecast horizon parameters Select optimal model training objectives Train models using AutoML technology Split training and evaluation datasets Execute rigorous backtesting validation methods Interpret complex model evaluation metrics Improve predictive model performance accuracy
5
Day 5– Model Deployment and MLOps Monitoring
Deploy scalable forecasting models live Execute efficient batch prediction jobs Implement MLOps using Vertex Pipelines Monitor models for performance drift Automate model retraining workflows daily Automate Vertex AI production pipelines Build end-to-end retail forecasting solutions Final project: Full production pipeline

What's Included in Your Training

Every enrollment comes packed with resources to maximise your learning and exam success

Career Outcomes

81%

of Time Series: ARIMA, SARIMA & STL Decomposition certified professionals report career advancement within 6 months

Salary Impact

+27%

Average salary increase reported after obtaining the Time Series: ARIMA, SARIMA & STL Decomposition certification

Typical Salary Range (Global)
Entry$90,000–$115,000
Mid$115,000–$145,000
Senior$145,000–$180,000

*Source: Glassdoor / LinkedIn 2025

Job Roles

5
  • Machine Learning Engineer
  • Data Scientist - Forecasting
  • Time Series Analyst
  • Predictive Analytics Specialist
  • Vertex AI Practitioner

Companies Hiring

5,000+
Google Accenture Deloitte Capgemini JPMorgan Chase Goldman Sachs Walmart Uber Procter & Gamble

and 5,000+ organizations worldwide seeking Time Series: ARIMA, SARIMA & STL Decomposition certified professionals

Real Transformations

Course Student Reviews

Real results from IT professionals who trained with Koenig — rated 4.9/5 from 18,400+ verified reviews.

18,400+
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  • ★★★★★

    “Passed AZ-104 on first attempt. The MCT knew the exact exam patterns and the labs were exactly what Microsoft tests. Worth every penny.”

    Rahul M.

    Rahul M.

    Azure Administrator

    AZ-104 Certified ✓ Verified
  • ★★★★★

    “I trained 15 of my team members for SC-200. Koenig's on-site delivery was seamless and all 15 passed within 3 months.”

    Sarah K.

    Sarah K.

    CISO, Financial Services

    Enterprise Client ✓ Verified
  • ★★★★★

    “The 1-on-1 format was a game changer. My trainer adjusted the pace to my schedule and I cleared PL-300 while working full-time.”

    Ahmed R.

    Ahmed R.

    Business Intelligence Lead

    PL-300 Certified ✓ Verified
  • ★★★★★

    “From AZ-900 to AZ-305 in 6 months. Koenig's structured roadmap and MCT mentoring made the expert level achievable.”

    Priya S.

    Priya S.

    Cloud Solutions Architect

    AZ-305 Expert ✓ Verified
  • ★★★★★

    “As an L&D head I've used 5 training vendors. Koenig's MCT quality, MOC materials, and ESI compliance is in a different league.”

    James T.

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    Head of L&D, UK Enterprise

    100+ Learners Trained ✓ Verified
  • ★★★★★

    “SC-900 and SC-300 back to back — both cleared first try. The security curriculum at Koenig is incredibly thorough and up to date.”

    Aisha N.

    Aisha N.

    Security Analyst

    SC-300 Certified ✓ Verified
  • ★★★★★

    “AI-102 was daunting but the trainer broke it down perfectly. Real Azure OpenAI labs made the difference. Highly recommend.”

    David L.

    David L.

    AI Engineer

    AI-102 Certified ✓ Verified
  • ★★★★★

    “DP-600 Fabric certification done in 3 weeks of part-time study. The customised schedule around my timezone was a lifesaver.”

    Mei W.

    Mei W.

    Data Platform Engineer

    DP-600 Certified ✓ Verified
  • ★★★★★

    “Our whole DevOps team got AZ-400 certified through Koenig's corporate training. Smooth logistics and top-tier MCTs throughout.”

    Carlos R.

    Carlos R.

    Engineering Manager

    AZ-400 Team Training ✓ Verified
  • ★★★★★

    “Passed AZ-104 on first attempt. The MCT knew the exact exam patterns and the labs were exactly what Microsoft tests. Worth every penny.”

    Rahul M.

    Rahul M.

    Azure Administrator

    AZ-104 Certified ✓ Verified
  • ★★★★★

    “I trained 15 of my team members for SC-200. Koenig's on-site delivery was seamless and all 15 passed within 3 months.”

    Sarah K.

    Sarah K.

    CISO, Financial Services

    Enterprise Client ✓ Verified
  • ★★★★★

    “The 1-on-1 format was a game changer. My trainer adjusted the pace to my schedule and I cleared PL-300 while working full-time.”

    Ahmed R.

    Ahmed R.

    Business Intelligence Lead

    PL-300 Certified ✓ Verified
  • ★★★★★

    “Passed AZ-104 on first attempt. The MCT knew the exact exam patterns and the labs were exactly what Microsoft tests. Worth every penny.”

    Rahul M.

    Rahul M.

    Azure Administrator

    AZ-104 Certified ✓ Verified
  • ★★★★★

    “I trained 15 of my team members for SC-200. Koenig's on-site delivery was seamless and all 15 passed within 3 months.”

    Sarah K.

    Sarah K.

    CISO, Financial Services

    Enterprise Client ✓ Verified
  • ★★★★★

    “The 1-on-1 format was a game changer. My trainer adjusted the pace to my schedule and I cleared PL-300 while working full-time.”

    Ahmed R.

    Ahmed R.

    Business Intelligence Lead

    PL-300 Certified ✓ Verified
  • ★★★★★

    “From AZ-900 to AZ-305 in 6 months. Koenig's structured roadmap and MCT mentoring made the expert level achievable.”

    Priya S.

    Priya S.

    Cloud Solutions Architect

    AZ-305 Expert ✓ Verified
  • ★★★★★

    “As an L&D head I've used 5 training vendors. Koenig's MCT quality, MOC materials, and ESI compliance is in a different league.”

    James T.

    James T.

    Head of L&D, UK Enterprise

    100+ Learners Trained ✓ Verified
  • ★★★★★

    “SC-900 and SC-300 back to back — both cleared first try. The security curriculum at Koenig is incredibly thorough and up to date.”

    Aisha N.

    Aisha N.

    Security Analyst

    SC-300 Certified ✓ Verified
  • ★★★★★

    “From AZ-900 to AZ-305 in 6 months. Koenig's structured roadmap and MCT mentoring made the expert level achievable.”

    Priya S.

    Priya S.

    Cloud Solutions Architect

    AZ-305 Expert ✓ Verified
  • ★★★★★

    “As an L&D head I've used 5 training vendors. Koenig's MCT quality, MOC materials, and ESI compliance is in a different league.”

    James T.

    James T.

    Head of L&D, UK Enterprise

    100+ Learners Trained ✓ Verified
  • ★★★★★

    “SC-900 and SC-300 back to back — both cleared first try. The security curriculum at Koenig is incredibly thorough and up to date.”

    Aisha N.

    Aisha N.

    Security Analyst

    SC-300 Certified ✓ Verified
  • ★★★★★

    “AI-102 was daunting but the trainer broke it down perfectly. Real Azure OpenAI labs made the difference. Highly recommend.”

    David L.

    David L.

    AI Engineer

    AI-102 Certified ✓ Verified
  • ★★★★★

    “DP-600 Fabric certification done in 3 weeks of part-time study. The customised schedule around my timezone was a lifesaver.”

    Mei W.

    Mei W.

    Data Platform Engineer

    DP-600 Certified ✓ Verified
  • ★★★★★

    “Our whole DevOps team got AZ-400 certified through Koenig's corporate training. Smooth logistics and top-tier MCTs throughout.”

    Carlos R.

    Carlos R.

    Engineering Manager

    AZ-400 Team Training ✓ Verified
  • ★★★★★

    “AI-102 was daunting but the trainer broke it down perfectly. Real Azure OpenAI labs made the difference. Highly recommend.”

    David L.

    David L.

    AI Engineer

    AI-102 Certified ✓ Verified
  • ★★★★★

    “DP-600 Fabric certification done in 3 weeks of part-time study. The customised schedule around my timezone was a lifesaver.”

    Mei W.

    Mei W.

    Data Platform Engineer

    DP-600 Certified ✓ Verified
  • ★★★★★

    “Our whole DevOps team got AZ-400 certified through Koenig's corporate training. Smooth logistics and top-tier MCTs throughout.”

    Carlos R.

    Carlos R.

    Engineering Manager

    AZ-400 Team Training ✓ Verified

Frequently Asked Questions

Everything you need to know about the Time Series: ARIMA, SARIMA & STL Decomposition training course

Is the certification exam included in the course fee for Vertex Forecasting and Time Series in Practice, and what is the exam cost if separate?
The certification exam is not included in the course fee for Vertex Forecasting and Time Series in Practice and must be purchased separately. The exam voucher costs approximately $400 USD. This fee covers one attempt at the Koenig Original certification assessment, which validates your expertise in Vertex AI forecasting models and time series implementation on Google Cloud.
What training formats are available for Vertex Forecasting and Time Series in Practice, and does Koenig offer Guaranteed-to-Run scheduling?
Koenig offers Vertex Forecasting and Time Series in Practice in live online, 1-on-1, classroom, and self-paced Flexi formats, all with Guaranteed-to-Run scheduling. Public batches proceed regardless of enrollment, ensuring training continuity. Live sessions span 56 hours, with flexible weekday and weekend options available globally to accommodate your professional schedule and time zone.
How long is lab access provided, and what type of environment is used for the Vertex Forecasting and Time Series in Practice course?
Lab access is provided for 30 days via Koenig’s LET Platform using cloud-based sandbox environments hosted on Google Cloud. These labs mirror real-world Vertex AI workflows, allowing hands-on practice with time series data preparation, model training, and forecasting pipeline deployment without requiring local setup or additional software installation.
What is Koenig's rescheduling and cancellation policy for the Vertex Forecasting and Time Series in Practice course?
Koenig allows free rescheduling of the Vertex Forecasting and Time Series in Practice course if requested at least 10 days before the start date; rescheduling within 10 days incurs a 50% fee. Cancellations made 10 or more days in advance are fully refundable, while later cancellations are subject to the same 50% charge, with no rescheduling allowed more than once.
What is the format, number of questions, passing score, and time limit for the Vertex Forecasting and Time Series in Practice certification exam?
The certification exam consists of 50 questions, including multiple-choice, case studies, and performance-based tasks, with a 120-minute time limit and a passing score of 75%. It is a web-proctored assessment delivered online, evaluating practical skills in Vertex AI forecasting model development, time series analysis, and deployment workflows on Google Cloud.
How long is the Vertex Forecasting and Time Series in Practice certification valid, and what is the renewal process and cost?
The certification is valid for three years and requires renewal through 30 Continuing Education Units (CEUs) in cloud or AI-related domains and a $60 renewal fee for Koenig alumni. Renewal ensures alignment with evolving Vertex AI capabilities and Google Cloud updates, maintaining professional credibility and technical relevance in machine learning forecasting.
What post-training support does Koenig provide after completing the Vertex Forecasting and Time Series in Practice course?
Koenig provides 30 days of post-training support, including mentor access, recorded session access, and community forum participation. Learners receive exam guidance, retake options under the Happiness Guarantee, and access to curated resources. This ensures continued learning and successful certification attainment with expert-backed assistance.
What are the prerequisites or prior experience needed to enroll in the Vertex Forecasting and Time Series in Practice course?
Participants should have basic knowledge of Python syntax, understanding of machine learning concepts, and prior experience with Google Cloud Platform. Familiarity with data modeling and time series fundamentals is recommended. No formal certification is required, but foundational cloud and programming skills ensure optimal engagement with Vertex AI forecasting workflows and lab exercises.
What is the average salary increase or career impact after completing the Vertex Forecasting and Time Series in Practice certification?
Professionals report an average salary increase of 25–35% post-certification, with roles like Machine Learning Engineer or Cloud Data Scientist averaging $145,000 annually. The certification enhances career mobility in AI-driven forecasting, demand planning, and cloud analytics, aligning with high-demand sectors such as retail, finance, and supply chain optimization.
How does instructor-led training for Vertex Forecasting and Time Series in Practice compare to self-study in terms of certification success rate?
Instructor-led training yields a 95% first-attempt pass rate compared to 60–65% for self-study, due to structured learning, real-time doubt resolution, and hands-on labs. Koenig’s guided approach includes exam strategies, practice tests, and expert mentorship, significantly improving readiness over unstructured self-preparation using public documentation or video tutorials.

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