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Data Engineering Fundamentals with Pipelines, Analytics, and Agentic AI

The Data Engineering Fundamentals with Pipelines, Analytics, and Agentic AI course by Python Institute equips aspiring data engineers with essential skills in SQL, Python, ETL pipelines, and Agentic AI to solve the growing industry challenge of managing complex data workflows. Designed for data engineers and analytics professionals, it addresses a market where demand for AI and data skills is projected to grow 30% annually through 2026.

This course prepares learners for the PCEI™ – Certified Entry-Level AI Specialist with Python exam, with Koenig’s Guaranteed-to-Run dates and 30-day lab access ensuring hands-on mastery. Graduates gain a vendor-recognized credential that opens pathways to roles in AI operations, automation, and data analytics, positioning them for immediate impact in AI-driven environments.

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Course Overview

The Data Engineering Fundamentals with Pipelines, Analytics, and Agentic AI by Python Institute is designed for aspiring data engineers, AI specialists, and analytics professionals seeking to master modern data workflows enhanced by artificial intelligence. This course prepares candidates for the PCEI™ – Certified Entry-Level AI Specialist with Python exam, building foundational skills in data pipeline construction, analytics processing, and agentic AI integration. Target roles include Junior Data Engineer, AI Operations Associate, and Analytics Pipeline Developer. With demand for data engineering skills growing by 35% year-over-year and Python appearing in 71% of job postings, this course meets a critical industry need for professionals who can design intelligent, scalable data systems.

Students gain hands-on experience with key technologies including Apache Airflow for pipeline orchestration, Apache Kafka for real-time data streaming, Spark for distributed processing, and Python libraries such as Pandas and NumPy. The lab environment emphasizes practical implementation through Jupyter-based exercises where students build and automate ETL pipelines, implement AI-assisted schema design, and develop end-to-end RAG systems integrated with data lakehouse architectures. A capstone project involves creating a streaming RAG pipeline for real-time chatbots, leveraging Agentic AI to draft, optimize, and monitor data workflows. These labs simulate real-world scenarios, ensuring students develop production-ready skills in data ingestion, transformation, and AI-driven validation.

This course prepares learners for the PCEI™ certification, a globally recognized credential that validates foundational AI and data engineering competencies. Certified professionals are well-positioned for roles commanding median salaries of $126,000 in the U.S., with specialized pipeline and cloud skills attracting even higher compensation. Koenig Solutions enhances learning with 1-on-1 training and Guaranteed-to-Run scheduling, ensuring access to official Python Institute courseware and expert instruction. Graduates emerge ready to advance into senior data engineering or AI specialist roles, equipped to design intelligent data systems that power next-generation analytics and automation in enterprise environments.

What You'll Learn

Refactor ETL pipelines using Pandas and SQLAlchemy to align with Python Institute PCEP and PCAP coding standards
Debug data validation logic within Python-based workflows to ensure accuracy and consistency
Deploy scalable data processing architectures leveraging PySpark for efficient large-scale data management
Orchestrate distributed data processing tasks using Python-based methods to optimize computational performance
Secure data storage layers in Python environments by implementing industry-standard encryption and access controls
Automate real-time data ingestion workflows using Python-based stream processing libraries for faster insights

Prerequisites

Recommended knowledge before taking this course
  • PCAP – Certified Associate in Python Programming (or equivalent proficiency in Python 3.10+ syntax and data structures)
  • Foundational knowledge of SQL and relational database management systems
  • Understanding of data pipeline architecture, ETL/ELT processes, and their role in data engineering
  • Hands-on experience with data storage solutions, specifically implementing schemas in relational databases and data warehouses
  • Proficiency in data manipulation using Pandas 2.0+ and NumPy 1.24+ to achieve specific data transformation outcomes
  • Conceptual understanding of Agentic AI frameworks and their integration into automated data workflows
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Certification Exam

Everything you need to know about the Data Engineering Fundamentals with Pipelines, Analytics, and Agentic AI certification exam

Exam Details
Exam Name
Format
Multiple choice, labs & case studies
Questions
Duration
Passing Score
Validity
Retake Policy
Unlimited attempts allowed
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Data Engineering Fundamentals with Pipelines, Analytics, and Agentic AI

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What's Included in Your Training

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

Career Outcomes

78%

of Data Engineering Fundamentals with Pipelines, Analytics, and Agentic AI certified professionals report career advancement within 6 months

Salary Impact

+16%

Average salary increase reported after obtaining the Data Engineering Fundamentals with Pipelines, Analytics, and Agentic AI 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

6
  • Data Engineer
  • Junior Data Engineer
  • Data Pipeline Engineer
  • Analytics Engineer
  • ETL Developer
  • Python Data Developer

Companies Hiring

5,000+
Google Amazon Microsoft Accenture Deloitte Capgemini JPMorgan Chase Bank of America Walmart IBM

and 5,000+ organizations worldwide seeking Data Engineering Fundamentals with Pipelines, Analytics, and Agentic AI certified professionals

Real Transformations

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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.

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  • ★★★★★

    “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.

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    Cloud Solutions Architect

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  • ★★★★★

    “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.”

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  • ★★★★★

    “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 Data Engineering Fundamentals with Pipelines, Analytics, and Agentic AI training course

Is the certification exam included in the Data Engineering Fundamentals with Pipelines, Analytics, and Agentic AI course fee?
The certification exam is not included in the course fee and must be purchased separately. The Python Institute PCEI™ exam costs from $69, with a retake option available for $86. Exam vouchers are purchased via OpenEDG Testing Service for one assessment attempt.
What training formats does Koenig offer for Data Engineering Fundamentals with Pipelines, Analytics, and Agentic AI?
Koenig offers live instructor-led training in 1-on-1 or group formats with Guaranteed-to-Run scheduling. All training is interactive and instructor-led, featuring real-time collaboration and lab access. Classroom training is available upon request, but self-paced options are not provided for this certification.
How long is lab access provided for Data Engineering Fundamentals with Pipelines, Analytics, and Agentic AI?
Lab access is provided for 90 days via a cloud-based sandbox hosted by OpenEDG. This environment allows learners to practice Python coding, data engineering pipelines, and Agentic AI implementations in a secure, pre-configured online lab accessible from any device with internet connectivity.
What is Koenig's rescheduling and cancellation policy for Data Engineering Fundamentals with Pipelines, Analytics, and Agentic AI?
Koenig allows free rescheduling with 7 days' notice before the course starts. Cancellations made 7+ days in advance receive a full refund. Cancellations within 7 days incur a 15% administrative fee. Rescheduling is subject to availability and must be completed before the course begins.
What is the format and passing score for the Data Engineering Fundamentals with Pipelines, Analytics, and Agentic AI exam?
The PCEI™ exam features 36 single- and multiple-select questions, including interactive items, to be finished in 60 minutes. The passing score is 75%. Delivered via the TestNow™ platform, candidates must achieve at least 27 correct answers out of 36 to earn certification.
How long is the Python Institute certification valid, and what is the renewal process?
The PCEI™ certification is valid for 7 years. Renewal requires retaking and passing the current version of the exam before expiration. There is no continuing education option; the renewal cost starts from $69 for the exam voucher, matching the initial attempt price.
What post-training support does Koenig provide for Data Engineering Fundamentals with Pipelines, Analytics, and Agentic AI?
Koenig provides 6 months of mentor access for technical queries, a free course retake within one year, and exclusive alumni community access. Support includes guidance on exam registration, career advice, and updates regarding new Python Institute certification changes and industry best practices.
What are the prerequisites for Data Engineering Fundamentals with Pipelines, Analytics, and Agentic AI?
No formal prerequisites exist, but the Python Institute recommends basic Python programming skills and foundational data analysis knowledge. Familiarity with PCEP and PCED-level concepts is beneficial. The course assumes no prior AI or data engineering experience, making it ideal for entry-level learners.
What career opportunities follow Data Engineering Fundamentals with Pipelines, Analytics, and Agentic AI?
Graduates can pursue roles like Data Engineer or AI Specialist, with salaries ranging from $75,000 to $110,000 annually. The PCEI™ certification validates essential AI and data pipeline skills, significantly enhancing employability across the competitive tech, finance, and healthcare sectors for certified professionals.
How does Koenig's training for Data Engineering Fundamentals with Pipelines, Analytics, and Agentic AI compare to self-study?
Koenig's training provides expert-led, structured learning with hands-on labs, increasing first-time pass rates. Self-study lacks mentorship and live environments. Koenig’s program includes practice tests and real-world projects, offering a 30% higher success rate compared to independent preparation for the Python Institute exam.
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