Python Institute Guaranteed-to-Run

AI, Data Analytics and Data Science

The AI, Data Analytics and Data Science course by Python Institute equips aspiring data analysts and AI specialists with foundational skills in Python-based data analysis, cleaning, exploration, and visualization, solving the critical industry gap in entry-level data talent. Designed for beginners, it addresses the growing demand for data-literate professionals, with over 2,600 learners already enrolled in its core track.

This course prepares you for the PCED™ – Certified Entry-Level Data Analyst with Python and PCEI™ – Certified Entry-Level AI Specialist with Python certifications, featuring Koenig’s official vendor-authorized courseware and 30-day lab access. Gain the confidence to launch a career in data science or AI with structured, hands-on training aligned to real-world job requirements.

80 Hours (10 Days)
Live Online / Classroom
6+ professionals trained

Training Formats & Pricing

1-on-1 USD 3,950
Dedicated instructor, your schedule
Available in all languages
Fastest
Public Batch USD 3,100
Group class, fixed schedule
Available in all languages
Most Popular

100% Happiness Guarantee · Free Rescheduling · Secure Payment

Course Overview

The AI, Data Analytics and Data Science course by Python Institute is designed to equip learners with foundational skills in artificial intelligence, data analysis, and data science using Python. This comprehensive program prepares candidates for the PCEI™ – Certified Entry-Level AI Specialist with Python (PCEI-30-01) certification exam, building on core Python programming and data handling competencies. It is ideal for aspiring data analysts, junior AI specialists, and business intelligence professionals seeking to enter the rapidly growing field of data-driven decision-making. With 86% of data scientists using Python as their primary language (JetBrains Blog), demand for Python-based analytics skills continues to surge across industries, making this certification a valuable asset for launching a career in AI and data science.

Participants engage with essential tools and libraries including Pandas, NumPy, Matplotlib, Seaborn, and SQL within a browser-based code playground environment. The hands-on lab component emphasizes real-world application, where students build complete data analysis pipelines—from extracting data via APIs and web scraping to cleaning datasets and performing statistical analysis. A key project involves creating an end-to-end data workflow that includes connecting Python to databases, executing SQL queries, and generating interactive visualizations. These practical exercises simulate professional workflows used in modern analytics teams, ensuring learners gain experience across the full data lifecycle, from raw data to actionable insights.

This course prepares learners for the globally recognized PCEI™ certification, which validates foundational AI and data analytics competencies and serves as a stepping stone to advanced credentials like PCAI™. Certified professionals can pursue roles with competitive compensation, including data scientists who earn a median annual salary of $112,590 in the U.S. (BLS, May 2024), with strong job growth projected at 34% through 2034. Koenig Solutions enhances this learning journey with official courseware, expert-led training, and a Guaranteed-to-Run schedule, ensuring flexible and reliable access to high-quality education. By mastering AI, Data Analytics and Data Science with Python Institute through Koenig, learners position themselves for long-term success in one of the most in-demand technology fields of the decade.

What You'll Learn

✓Architect Artificial Intelligence systems and construct core AI frameworks using Python to support advanced data science applications.
✓Implement data cleaning and preprocessing techniques on real-world datasets with Python, enabling you to execute data pipelines efficiently.
✓Analyze numerical and categorical data using Python libraries such as Matplotlib to generate statistical reports and identify data patterns.
✓Deploy advanced visualization techniques to map data trends and distributions, ensuring complex datasets are interpreted accurately.
✓Apply machine learning workflows to build and evaluate predictive models, empowering you to solve real-world data problems.
✓Construct comprehensive AI project documentation to communicate findings to technical and non-technical audiences, enhancing professional credibility.

Skills You'll Gain

Python Data Structures Data Handling with Python AI Fundamentals Machine Learning Basics Data Analysis with Python Python for Data Visualization Neural Networks with Python Deep Learning Concepts Generative AI Responsible AI Practices Data Quality in AI Feature Engineering for AI Statistical Analysis with Python Python Data Science Libraries AI Project Collaboration Data Preprocessing AI Ethics

Prerequisites

Recommended knowledge before taking this course
  • Completion of PCEP – Certified Entry-Level Python Programmer or equivalent knowledge of Python 3.x syntax.
  • Proficiency in PCAP-31-03 level programming concepts, including control flow, functions, and exception handling.
  • Ability to implement and manipulate Python data structures such as lists, tuples, dictionaries, and sets.
  • Familiarity with standard library modules like math, random, and csv for data processing tasks.
  • Foundational understanding of statistical concepts and mathematical operations relevant to data analysis.
  • Experience in parsing and organizing structured data formats, specifically CSV and JSON files.
Corporate Training
Get a Corporate Quote

Volume discounts · Dedicated account manager · Custom scheduling

Let's Talk

Request for more information

AI, Data Analytics and Data Science

We'll respond within 1 business day · No spam, ever.

What's Included in Your Training

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

Career Outcomes

78%

of AI, Data Analytics and Data Science certified professionals report career advancement within 6 months

Salary Impact

+15%

Average salary increase reported after obtaining the AI, Data Analytics and Data Science 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
  • Junior Data Analyst
  • AI Assistant Operator
  • Prompt Engineer
  • Research Assistant
  • Automation Support Analyst
  • Entry-Level Data Technician

Companies Hiring

5,000+
Google Microsoft Accenture Deloitte IBM Capgemini Wipro Infosys JPMorgan Chase Salesforce

and 5,000+ organizations worldwide seeking AI, Data Analytics and Data Science 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+
Verified Reviews
4.9 / 5
Average Rating
95%
Would Recommend
1M+
Professionals Trained
  • ★★★★★

    “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
  • ★★★★★

    “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
  • ★★★★★

    “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
  • ★★★★★

    “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 AI, Data Analytics and Data Science training course

Is the certification exam included in the AI, Data Analytics and Data Science course fee, and what is the cost if separate?
The certification exam is not included in the Python Institute course fee and requires separate purchase. The PCAD™ exam costs $195 per attempt, with practice bundles starting at $225. Vouchers issued via OpenEDG Testing Service remain valid for 12 months.
What training formats are available for the AI, Data Analytics and Data Science course, and is Guaranteed-to-Run scheduling offered?
Koenig offers live online, classroom, 1-on-1, private, and self-paced Flexi formats for AI, Data Analytics and Data Science training. All public live online sessions are Guaranteed-to-Run, ensuring your training proceeds as scheduled with flexible weekday or weekend enrollment options.
How long is lab access provided, and what type of lab environment is used for the AI, Data Analytics and Data Science course?
You receive 30 days of post-training access to a cloud-based sandbox for AI, Data Analytics and Data Science. The environment includes Jupyter, Pandas, NumPy, and Matplotlib, enabling hands-on practice in data visualization and machine learning without local software installation.
What is Koenig's rescheduling and cancellation policy for the AI, Data Analytics and Data Science course?
Koenig permits free rescheduling of your AI, Data Analytics and Data Science course if requested 7 days before commencement. Changes within 7 days incur a 50% fee, and the same training may be rescheduled only once to maintain batch integrity.
What is the format, number of questions, passing score, and time limit for the AI, Data Analytics and Data Science certification exam?
The PCAD™ exam features 48 scenario-based questions with a 60-minute limit and 75% passing score. Delivered via OpenEDG Testing Service, it validates your practical skills in Python-based data cleaning, manipulation, visualization, and machine learning for AI, Data Analytics and Data Science.
How long is the AI, Data Analytics and Data Science certification valid, and what is the renewal process and cost?
The PCAD™ certification for AI, Data Analytics and Data Science is valid for 6 years. No formal renewal exists; you simply retake the current exam version upon expiration. The retake voucher costs $195, with no mandatory maintenance or continuing education fees.
What post-training support does Koenig provide after completing the AI, Data Analytics and Data Science course?
Koenig provides 30 days of support, including session recordings, cloud lab access, and expert mentor guidance for AI, Data Analytics and Data Science. You receive a certificate of completion plus exam prep materials and doubt-clearing sessions to ensure certification success.
What are the prerequisites or recommended experience for enrolling in the AI, Data Analytics and Data Science course?
While no formal prerequisites exist for AI, Data Analytics and Data Science, Python programming knowledge (PCAP/PCEP level) and basic statistics are strongly recommended. Familiarity with data handling libraries like NumPy and Pandas will significantly accelerate your learning outcomes.
What salary increase and job roles can be expected after completing the AI, Data Analytics and Data Science certification?
Certified AI, Data Analytics and Data Science professionals report a 24% average salary increase, with entry-level roles earning $75,000–$95,000. Demand for Data Analysts and AI Specialists is projected to grow 34% by 2034, according to U.S. BLS data.
How does Koenig's AI, Data Analytics and Data Science training compare to self-study in terms of success rate and time efficiency?
Koenig's expert-led AI, Data Analytics and Data Science program achieves a 78% success rate versus 45% for self-study. Our 40-hour accelerated course finishes in 5 days, saving months of effort compared to self-paced learning while ensuring Guaranteed-to-Run scheduling.
Learning Path

What's Next After AI, Data Analytics and Data Science

Continue your learning journey after AI, Data Analytics and Data Science

Fundamentals
Certified Entry-Level Python Programmer
Current Course
Associate
Certified Associate in Python Programming
Current Course
Certified Professional in Python Programming 1
Current Course
Expert
Certified Entry-Level Python Programmer
Current Course
Certified Associate in Python Programming
Current Course
Certified Professional in Python Programming 1
Current Course
100%

Happiness Guarantee

We are so confident in the quality of our training that we offer a full money-back guarantee. Not satisfied? Contact us within 24 hours of your first session — we'll refund you completely, no questions asked.

Full Refund

Within 24 hours

No Questions

Asked ever

Secure Payment

Encrypted checkout

PCI DSS

Compliant