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AI Basics: ML, GenAI & Prompt Engineering

Capsule Training: Understanding AI, ML, and Generative AI for Beginners by Open Source equips aspiring AI practitioners, career switchers, and non-technical professionals with foundational knowledge of artificial intelligence, machine learning, and generative AI concepts. Designed for learners with minimal technical background, it addresses the growing skills gap as 75% of global knowledge workers now use AI tools. The course delivers hands-on experience with prompt engineering, LLMs, and responsible AI development, enabling beginners to confidently enter the AI workforce.

This course prepares learners for broader AI certification pathways by building essential competencies in generative AI, supported by Koenig’s 30-day lab access for continuous practice. Graduates gain practical skills to pursue roles in AI support, technical sales, or further specialization, positioning them for emerging opportunities in a field where AI talent demand has grown 323% in eight years.

03 Hours (1 Days)
Live Online / Classroom
12+ professionals trained

Training Formats & Pricing

1-on-1 USD 750
Dedicated instructor, your schedule Fastest
Public Batch USD 600
Group class, fixed schedule Most Popular
Self-Paced USD 199
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Course Overview

The Capsule Training: Understanding AI, ML, and Generative AI for Beginners by Open Source is a foundational course designed for individuals new to artificial intelligence, including aspiring AI engineers, data analysts, and IT professionals seeking to understand core AI concepts. While not directly aligned with a specific certification exam, this course builds essential knowledge in artificial intelligence (AI), machine learning (ML), and generative AI, preparing learners for further specialization. With over 70% of enterprises adopting AI technologies, demand for AI-fluent professionals is rising across industries. This course serves as a critical entry point, equipping beginners with the conceptual understanding needed to engage with modern AI systems and pursue roles in AI project coordination, data support, or technology consulting.

Participants in the Capsule Training: Understanding AI, ML, and Generative AI for Beginners explore key technologies such as neural networks, deep learning, natural language processing, and generative models using platforms like TensorFlow and PyTorch. The hands-on lab component, conducted in a cloud-based Jupyter Notebook environment, allows students to build and test simple AI models, including image classifiers and text generators. One real-world scenario involves training a model to recognize handwritten digits using the MNIST dataset, providing practical insight into supervised learning workflows. Learners also gain experience with tools such as OpenCV for computer vision tasks and Hugging Face for leveraging pre-trained language models, reinforcing theoretical concepts through applied exercises.

While the Open Source Capsule Training: Understanding AI, ML, and Generative AI for Beginners does not lead to a formal certification, it lays the groundwork for pursuing recognized credentials like Microsoft Certified: Azure AI Fundamentals or Google’s AI Essentials. Graduates report increased readiness for AI-related roles, with entry-level positions in AI support and analytics averaging $95,000–$140,000 in the U.S. Koenig Solutions enhances this learning experience with 1-on-1 training options, Guaranteed-to-Run schedules, and official courseware, ensuring personalized and reliable instruction. By completing this course, learners gain the foundational expertise needed to advance into AI engineering, data science, or generative AI development roles in a rapidly evolving technological landscape.

What You'll Learn

Understand the fundamentals of Artificial Intelligence and its historical development, gaining a clear grasp of AI's evolution and core concepts.
Implement neural networks using popular frameworks like PyTorch and TensorFlow, enabling practical AI model development.
Design computer vision solutions with convolutional neural networks and transfer learning, boosting image recognition accuracy.
Build natural language processing applications with transformers and BERT, enhancing language understanding capabilities.
Apply responsible AI principles in designing ethical AI systems, ensuring fairness, transparency, and accountability.
Construct generative AI applications with Azure OpenAI and OpenAI APIs, unlocking innovative content creation and automation.

Skills You'll Gain

Generative AI Fundamentals Large Language Models Prompt Engineering Text Generation Image Generation Vector Databases Retrieval Augmented Generation AI Application Development Open Source Models Hugging Face Integration Mistral Models Meta Models Small Language Models Function Calling AI Agents Fine-Tuning LLMs Responsible AI

Prerequisites

Recommended knowledge before taking this course
  • Basic understanding of Python programming concepts like variables, loops, and functions is essential for grasping AI, ML, and Generative AI fundamentals in the Capsule Training: Understanding AI, ML, and Generative AI for Beginners course by Open Source.
  • Familiarity with using a code editor or IDE for Python development helps learners efficiently write and test AI and machine learning code during the course.
  • Ability to create and manage a GitHub account is important for collaborating on AI projects and accessing shared repositories in this training.
  • A solid grasp of basic mathematical concepts, including probability and linear algebra, supports understanding AI algorithms covered in the course.
  • General awareness of artificial intelligence and machine learning concepts provides a foundation for exploring advanced topics in Generative AI.
  • Experience with forking and cloning repositories from GitHub enables learners to participate in practical exercises and project collaborations during the training.
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Certification Exam

Everything you need to know about the AI Basics: ML, GenAI & Prompt Engineering certification exam

Exam Details
Exam Name
Format
Multiple choice, labs & case studies
Questions
Duration
Passing Score
Validity
Retake Policy
N/A
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AI Basics: ML, GenAI & Prompt Engineering

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Course Curriculum

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

1
Day 1– Mastering AI, ML, and Generative AI Basics
Define Artificial Intelligence (AI) core concepts Grasp Machine Learning (ML) fundamental principles Explore Open Source Generative AI frameworks Distinguish AI, ML, and Deep Learning Analyze real-world AI industry applications Categorize essential machine learning types Introduction to neural network architectures Review AI ethics and professional responsibility
2
Day 2– Essential Machine Learning Technical Skills
Execute data preprocessing and feature engineering Compare supervised versus unsupervised learning methods Develop regression and classification predictive models Perform model training and evaluation metrics Apply industry-standard ML algorithms effectively Hands-on: Build a functional ML model Diagnose model overfitting and underfitting issues Optimize the bias and variance tradeoff
3
Day 3– Generative AI and LLM Implementation Strategies
Understand Large Language Models (LLMs) mechanics Analyze transformer model technical architecture Examine how Generative AI creates content Master prompting basics and business use Evaluate popular LLMs like GPT and Llama Automate text generation and data summarization Ensure responsible use of Generative AI Mitigate limitations and challenges of LLMs

What's Included in Your Training

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

Career Outcomes

78%

of AI Basics: ML, GenAI & Prompt Engineering certified professionals report career advancement within 6 months

Salary Impact

+16%

Average salary increase reported after obtaining the AI Basics: ML, GenAI & Prompt Engineering 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 Operations Associate
  • Technical Support Specialist
  • Junior AI Project Coordinator
  • AI Systems Administrator
  • AI Implementation Associate

Companies Hiring

5,000+
Microsoft Accenture Deloitte Infosys Wipro TCS Capgemini HCL Technologies Cognizant Tech Mahindra

and 5,000+ organizations worldwide seeking AI Basics: ML, GenAI & Prompt Engineering 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
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    Engineering Manager

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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
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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 AI Basics: ML, GenAI & Prompt Engineering training course

Is the certification exam included in the Capsule Training: Understanding AI, ML, and Generative AI for Beginners course fee?
The certification exam is not included in the Capsule Training: Understanding AI, ML, and Generative AI for Beginners course fee. This Open Source curriculum focuses on skill mastery rather than formal testing. Learners gain practical expertise but must pursue third-party validation separately if required.
What training formats are available for this course, and is there a Guaranteed-to-Run schedule?
Koenig offers Capsule Training: Understanding AI, ML, and Generative AI for Beginners via Live Online, Classroom, 1-on-1, and Flexi formats. Our Guaranteed-to-Run policy ensures sessions proceed as scheduled. Students book with confidence, knowing their training is confirmed regardless of enrollment numbers.
How long is lab access provided, and what type of lab environment is used for this training?
We provide 30 days of cloud-based lab access starting from the course date. This includes Jupyter notebooks and Python tools for AI/ML workflows. These 24/7 accessible sandboxes allow you to practice generative AI models and prompt engineering in a secure, professional environment.
What is Koenig's rescheduling and cancellation policy for this course?
Reschedule your Capsule Training: Understanding AI, ML, and Generative AI for Beginners for free if notified 10 days before the start. Cancellations within 10 days incur a 50% fee. Students may reschedule once and join our next Guaranteed-to-Run batch at minimal cost.
What is the exam format, number of questions, passing score, and time limit for the certification?
Capsule Training: Understanding AI, ML, and Generative AI for Beginners is a foundational course by Open Source and does not include an official certification exam. Consequently, there is no standardized format, question count, or passing score. The program prioritizes practical learning over assessments.
How long is the certification valid, and what is the renewal process and cost?
Since Capsule Training: Understanding AI, ML, and Generative AI for Beginners is an educational program, no certification is issued. Therefore, there is no validity period, renewal process, or associated cost. This course provides a robust foundation for your AI career without formal credentialing.
What post-training support does Koenig provide after completing this course?
Koenig supports your growth with 30 days of post-training mentor access and lab environment availability. You also receive recorded sessions and community forum access for continuous learning. These resources ensure you retain knowledge and clarify doubts long after your training concludes.
What are the prerequisites or prior experience needed for this beginner-level AI course?
No formal prerequisites exist for Capsule Training: Understanding AI, ML, and Generative AI for Beginners. Basic familiarity with Python or computing is beneficial but not required. We provide step-by-step guidance designed specifically for absolute beginners to master foundational AI and ML concepts.
What career impact or salary benefits can learners expect after completing this course?
This course builds essential skills for roles like AI Analyst or Junior Data Scientist. According to 2024 LinkedIn market data, these positions offer entry-level salaries between $60,000 and $85,000 annually. Gain the foundational knowledge needed to compete for these high-growth, lucrative technology roles.
How does instructor-led training compare to self-study for mastering AI and generative AI concepts?
Instructor-led Capsule Training provides structured guidance and real-time doubt resolution. Koenig’s approach improves concept retention by 40% compared to self-study, based on internal performance metrics. Master generative AI tools faster through our interactive, expert-led sessions and hands-on laboratory exercises.
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