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Artificial Intelligence for End Users Beginner

The Artificial Intelligence for End Users course equips non-technical professionals with practical AI literacy to improve decision-making and workplace efficiency. Designed for business analysts, project managers, and frontline staff, it addresses the growing gap between AI adoption and user readiness—where 89% of AI-equipped organizations already use open-source tools. Learners gain skills to leverage AI responsibly in daily workflows, mitigate risks, and align with business strategy.

This Open Source training prepares learners for real-world AI integration, with Koenig’s 30-day hands-on lab access ensuring practical mastery. By building confidence in using AI tools, professionals enhance productivity and position themselves for emerging roles in AI-augmented workplaces.

16 Hours (2 Days)
Live Online / Classroom
4+ professionals trained

Training Formats & Pricing

1-on-1 USD 1,100
Dedicated instructor, your schedule Fastest
Public Batch USD 850
Group class, fixed schedule Most Popular
Self-Paced USD 199
Recorded sessions, learn anytime Best Value

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Course Overview

The Open Source Artificial Intelligence for End Users course is designed for non-technical professionals, business analysts, and decision-makers seeking to understand and leverage AI in their organizations. This foundational training covers core AI concepts, practical applications in business, and risk management, aligning with the growing demand for AI literacy across industries. According to PwC, companies leveraging AI have seen up to 163% productivity growth, underscoring the importance of equipping end users with essential AI knowledge. Geared toward roles such as AI Business Analyst, Digital Transformation Specialist, and AI Project Coordinator, this course prepares learners to engage confidently in AI-driven initiatives without requiring coding expertise.

Participants gain hands-on experience with leading open-source AI tools and platforms, including Hugging Face, Ollama, Mistral-7B, LangChain, and LlamaIndex, all within a secure local or cloud-based lab environment. The course includes practical lab exercises where students configure AI agents, build agentic workflows, and implement Retrieval-Augmented Generation (RAG) systems using real-world datasets. One key project involves creating and testing an autonomous AI agent capable of performing business tasks such as customer segmentation or process optimization, using frameworks like LangGraph and CrewAI. These labs are conducted using open-source models, ensuring privacy and eliminating API costs.

This course prepares learners for the PCEI™ – Certified Entry-Level AI Specialist with Python certification, a vendor-neutral credential recognized across the tech industry. According to Glassdoor, entry-level AI specialists earn an average of $123,000 annually, with strong career growth potential in AI operations and automation roles. Koenig Solutions enhances learning with its Guaranteed-to-Run schedule, official courseware, and flexible 1-on-1 training options, ensuring personalized attention. Completing the Artificial Intelligence for End Users program empowers professionals to bridge the gap between technical teams and business stakeholders, positioning them for advancement in the rapidly evolving AI landscape.

What You'll Learn

Architect foundational AI workflows using the principles of Artificial Intelligence for End Users by Open Source.
Execute neural network training pipelines using PyTorch to develop efficient machine learning models.
Deploy large language models locally using Ollama to create functional interactive AI demos.
Configure Retrieval-Augmented Generation systems using LangChain to improve the accuracy of AI responses.
Build complete AI applications by integrating pre-trained models from Hugging Face into custom solutions.
Evaluate the safety and ethics of AI projects to ensure compliance with industry standards for responsible development.

Prerequisites

Recommended knowledge before taking this course
  • Recommended Experience Level: Beginner/Non-Technical. Familiarity with SaaS interfaces and basic data literacy is essential for mastering the 'Artificial Intelligence for End Users' course by Open Source.
  • Ability to navigate LLM prompt interfaces helps learners grasp how AI solutions are deployed and interacted with in real-world environments.
  • Working knowledge of web browsers and common software applications enables participants to navigate AI-powered platforms smoothly.
  • Basic understanding of data privacy and GDPR compliance in AI is crucial for applying AI concepts practically and ensuring secure implementation of tools.
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Certification Exam

Everything you need to know about the Artificial Intelligence for End Users certification exam

Exam Details
Exam Name
Artificial Intelligence for End Users
Exam Cost
$69
Format
Multiple choice, labs & case studies
Questions
Duration
Passing Score
Validity
Retake Policy
Retake permitted after 7 days; complimentary retake included with specific Open Source exam vouchers
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Course Curriculum

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

1
Day 1– Mastering Artificial Intelligence for End Users
Defining Artificial Intelligence for End Users Evolution of AI Development History Comparing AI, Machine Learning, Deep Learning Practical AI Applications Overview Current AI System Limitations Course Objectives and Learning Structure Configuring Your AI Learning Environment Jupyter Notebooks for AI Development
2
Day 2– Symbolic AI and Knowledge Representation
Core Symbolic AI Concepts Expert Systems Framework Overview Concept Graphs and Ontologies Logic-Based Rule Reasoning Advanced Knowledge Representation Techniques Symbolic AI Strengths and Constraints Expert Systems Practical Use Cases Lab: Building Simple Expert Systems
3
Day 3– Neural Networks and Deep Learning
Fundamental Perceptron Operations Multi-Layer Perceptron Architecture Design Developing Neural Networks from Scratch Getting Started with TensorFlow Getting Started with PyTorch Strategies for Managing Overfitting Neural Network Training Methodologies Lab: Implementing MLP using PyTorch
4
Day 4– Computer Vision and Image Recognition
Computer Vision Fundamentals Explained Image Processing with OpenCV Convolutional Neural Networks Explained ResNet and Inception Architectures Leveraging Pre-trained Model Transfer Autoencoders and Variational Models Generative Adversarial Networks Overview Lab: CNN Image Classification Tasks
5
Day 5– NLP and AI Ethics Principles
Text Representation: TF-IDF Methods Word Embeddings: GloVe and Word2Vec Recurrent Neural Networks Architecture Transformers and BERT Fundamentals Prompt Programming for Language Models Named Entity Recognition Techniques Addressing AI Ethics and Bias Responsible AI Development Practices

What's Included in Your Training

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

Hands-On Lab

Live Lab Sandbox

Real Environment

Practice in a real lab environment with full access to the tools and services covered in the course.

30+ Guided Labs

30+

Step-by-step lab exercises designed to reinforce each module with practical, hands-on tasks.

Lab Manual Included

Full Guide

Comprehensive lab guide with detailed instructions, screenshots, and troubleshooting tips.

Post-Training Access

30 Days

30 days of extended lab access after your training ends so you can continue practicing.

Career Outcomes

78%

of Artificial Intelligence for End Users certified professionals report career advancement within 6 months

Salary Impact

+18%

Average salary increase reported after obtaining the Artificial Intelligence for End Users 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
  • AI Assistant Operator
  • Prompt Engineer
  • Junior Data/AI Technician
  • Research Assistant
  • Automation Support Analyst
  • AI Literacy Specialist

Companies Hiring

5,000+
Google Microsoft IBM Accenture Deloitte Infosys Wipro Tata Consultancy Services

and 5,000+ organizations worldwide seeking Artificial Intelligence for End Users 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.

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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.”

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    Business Intelligence Lead

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

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    AI Engineer

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  • ★★★★★

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

    Mei W.

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    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
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