Koenig Original Guaranteed-to-Run

AI, ML & Deep Learning: Scikit-learn & Keras CNNs

The Fundamentals of Artificial Intelligence (AI), Machine Learning & Deep Learning course by Koenig Original equips professionals such as data analysts, IT consultants, and solutions architects with essential AI fluency to bridge the industry talent gap, where over 70% of enterprises report challenges in implementing AI. It covers core concepts including machine learning, deep learning, and generative AI, enabling learners to apply AI tools like prompt engineering and language models to automate tasks and enhance decision-making across industries.

This course prepares learners for the Microsoft Certified: Azure AI Fundamentals (AI-901) exam, with Koenig’s Guaranteed-to-Run training ensuring flexible, reliable access to official curriculum. Graduates gain foundational expertise to pursue roles in AI solution development, driving innovation and increasing job competitiveness by 15–20% in high-demand tech sectors.

60 Hours (7 Days)
Live Online / Classroom
38+ professionals trained

Training Formats & Pricing

1-on-1 USD 2,850
Dedicated instructor, your schedule Fastest
Public Batch USD 2,250
Group class, fixed schedule Most Popular
Self-Paced USD 199
Recorded sessions, learn anytime Best Value

100% Happiness Guarantee · Free Rescheduling · Secure Payment

Course Overview

The Fundamentals of Artificial Intelligence (AI), Machine Learning & Deep Learning by Koenig Original is a comprehensive training program. It is designed for professionals seeking foundational expertise in modern AI technologies. While not tied to a formal external certification exam, this Koenig Original course prepares learners for practical application in roles such as Business Analyst, Data Scientist, and AI Solutions Associate. With 75% of global enterprises now adopting AI for automation and decision support, demand for AI-literate professionals has surged across finance, healthcare, and technology sectors. This course delivers structured learning in core AI concepts, machine learning methodologies, and deep learning architectures.

Participants engage with key technologies including TensorFlow, Keras, PyTorch, Microsoft Copilot, OpenAI’s ChatGPT, and Excel AI automation tools within a live, cloud-based lab environment. The hands-on component includes over 30 guided labs where students configure machine learning models, train convolutional neural networks, and implement natural language processing applications using prompt engineering techniques. A capstone project involves building an AI-driven business reporting system that leverages Copilot and ChatGPT to automate data summarization and generate interactive reports. These labs are conducted in a realistic digital workspace using modern browsers and Microsoft 365 environments, ensuring immediate applicability of skills.

Graduates receive a Koenig Solutions completion certificate, recognized by employers for validating practical AI proficiency. Professionals with foundational AI skills report up to 25% higher competitiveness in job placements, particularly in digitally transforming industries. A key differentiator of Koenig Original training is the Guaranteed-to-Run model, ensuring every session proceeds regardless of enrollment, along with options for 1-on-1 personalized instruction. Upon completing the training, learners are positioned to advance into AI-enhanced roles, lead innovation initiatives, and contribute meaningfully to data-informed decision-making processes in an AI-driven economy.

What You'll Learn

✓Set up a Python data science environment with Koenig Solutions' recommended tools, the leading provider for AI and machine learning training, to accelerate your AI projects
✓Implement supervised and unsupervised machine learning models using scikit-learn, a popular library trusted by over 10 million data scientists worldwide, to build accurate AI solutions
✓Design neural networks for classification and regression tasks in Koenig labs, where hands-on training ensures you gain practical skills in AI development
✓Apply deep learning techniques with TensorFlow and Keras frameworks, used by top tech companies like Google and Netflix, to solve complex AI problems
✓Evaluate AI model performance using Koenig's structured testing methodology, a proven approach that improves model accuracy by up to 30%
✓Deploy REST APIs to interface with trained machine learning models, enabling seamless integration of AI solutions into real-world applications

Prerequisites

Recommended knowledge before taking this course
  • Basic Understanding of Programming: Familiarity with programming languages such as Python will be beneficial, as Python is widely used in AI and Machine Learning applications.
  • Elementary Mathematics Skills: A foundational knowledge of mathematics, particularly in areas such as linear algebra, calculus, and statistics, will help in understanding the underlying concepts of AI and Machine Learning.
  • Curiosity and Willingness to Learn: A passion for technology and a strong desire to delve into the field of artificial intelligence and its applications will greatly enhance your learning experience.
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Certification Exam

Everything you need to know about the AI, ML & Deep Learning: Scikit-learn & Keras CNNs certification exam

Exam Details
Exam Name
Format
Multiple choice, labs & case studies
Questions
Duration
Passing Score
Validity
Retake Policy
Unlimited attempts allowed for internal assessments
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AI, ML & Deep Learning: Scikit-learn & Keras CNNs

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Course Curriculum

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

1
Day 1– Introduction to AI with Python, NumPy, and Pandas
AI landscape and Koenig Original methodology Data manipulation using NumPy and Pandas AI history and taxonomy Real-world AI application analysis AI ethics, safety, and governance Integration of AI and Machine Learning pipelines Introduction to Computer Vision concepts Project: Data preprocessing and exploratory analysis (4 hours)
2
Day 2– Machine Learning with Scikit-Learn
Scikit-Learn core API and workflow Supervised learning: Regression and Classification Unsupervised learning: Clustering and Dimensionality Reduction Reinforcement learning strategy implementation Neural network architecture foundations Feature engineering and selection techniques Model evaluation metrics and cross-validation Project: Building predictive models with Scikit-Learn (6 hours)
3
Day 3– Deep Learning with TensorFlow and Keras
TensorFlow and Keras framework architecture Deep Neural Networks (DNN) implementation Convolutional Neural Networks (CNN) for feature extraction Recurrent Neural Networks (RNN) and LSTM logic Autoencoders for unsupervised data compression Generative Adversarial Networks (GAN) theory Hyperparameter tuning and optimization Project: Developing deep learning models in Keras (6 hours)
4
Day 4– NLP with PyTorch and Hugging Face Transformers
NLP pipeline architecture Text preprocessing with NLTK and SpaCy Word embeddings and vector representation Text classification using PyTorch Clustering and topic modeling Hugging Face Transformers for text summarization Natural Language Generation (NLG) capabilities Project: Building an NLP sentiment analysis system (6 hours)
5
Day 5– Computer Vision with OpenCV and Model Deployment
OpenCV image processing fundamentals Feature detection and object recognition Advanced image segmentation techniques Image registration and alignment processes Model deployment via REST APIs Containerization for AI model scalability Deep learning limitations and Koenig Original best practices Project: End-to-end Computer Vision deployment (6 hours)

What's Included in Your Training

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

Career Outcomes

78%

of AI, ML & Deep Learning: Scikit-learn & Keras CNNs certified professionals report career advancement within 6 months

Salary Impact

+15%

Average salary increase reported after obtaining the AI, ML & Deep Learning: Scikit-learn & Keras CNNs 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 Engineer
  • Machine Learning Engineer
  • Data Scientist
  • Deep Learning Specialist
  • AI Research Assistant
  • ML Developer

Companies Hiring

5,000+
Google Microsoft Amazon Accenture Deloitte Capgemini JP Morgan Goldman Sachs NVIDIA IBM

and 5,000+ organizations worldwide seeking AI, ML & Deep Learning: Scikit-learn & Keras CNNs 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, ML & Deep Learning: Scikit-learn & Keras CNNs training course

Is the certification exam included in the Fundamentals of Artificial Intelligence (AI), Machine Learning & Deep Learning course by Koenig Original, and what is the exam fee?
The certification exam is not included in the course fee and requires a separate purchase of $100 USD. Koenig Solutions lists this $100 fee for the AI-900-related assessment. This ensures learners are fully prepared for official vendor certification through our comprehensive training.
What training formats are available for the Fundamentals of Artificial Intelligence (AI), Machine Learning & Deep Learning course, and is Guaranteed-to-Run scheduling offered?
Koenig offers live online, classroom, 1-on-1, and self-paced Flexi formats, all featuring Guaranteed-to-Run (GTR) scheduling. Every public batch runs as scheduled regardless of enrollment numbers. Students book with confidence, knowing their training proceeds even if they are the sole participant registered.
How long is lab access provided, and what environment is used for the Fundamentals of Artificial Intelligence (AI), Machine Learning & Deep Learning course?
Lab access is provided for 30 days via a cloud-based sandbox. This environment offers hands-on practice with real tools. Students apply AI and ML techniques in a secure, instructor-led cloud console, reinforcing theoretical knowledge with practical implementation without needing local software installation.
What is Koenig's rescheduling and cancellation policy for the Fundamentals of Artificial Intelligence (AI), Machine Learning & Deep Learning course?
Koenig allows free rescheduling if requested more than 10 days before the start date. Rescheduling or cancellation within 10 days incurs a 50% fee. Sessions cannot be rescheduled more than once. Written notice is required for all changes to ensure administrative accuracy.
What is the format, number of questions, passing score, and time limit for the certification exam associated with this course?
The exam includes multiple-choice, lab, and case study questions. It lasts 60 minutes and requires a 65% passing score. It consists of 40 questions and is web-proctored, aligning with Microsoft-aligned AI assessments. Non-native English speakers receive an additional 15 minutes, totaling 75 minutes.
How long is the certification earned from this course valid, and what is the renewal process and cost?
The certification is valid for life and requires no renewal, similar to Microsoft Applied Skills credentials like AI-050. Since this course prepares learners for foundational AI certifications that do not expire, there are no recurring renewal fees or continuing education requirements, providing long-term value.
What post-training support does Koenig provide after completing the Fundamentals of Artificial Intelligence (AI), Machine Learning & Deep Learning course?
Koenig provides 30 days of post-training support, including lab access, session recordings, and trainer consultation. Students also receive exam preparation materials, practice tests, and a certificate of completion. This ensures continued learning and certification readiness, backed by our signature Happiness Guarantee for course satisfaction.
What are the prerequisites or prior experience needed for the Fundamentals of Artificial Intelligence (AI), Machine Learning & Deep Learning course?
No formal prerequisites are required, making this ideal for beginners. Basic computer literacy and fundamental programming concepts are beneficial. The course serves aspiring AI engineers and technology managers, addressing industry demand where 70% of tech leaders report significant talent gaps in AI fluency.
What career impact and salary potential can graduates expect after completing this course?
Graduates gain skills for roles like AI Specialist, where professionals command average salaries of $145,000 annually in North America. With 77% of enterprises deploying generative AI, this training enhances employability and positions learners at the forefront of high-demand AI innovation and digital transformation initiatives.
How does Koenig's Fundamentals of Artificial Intelligence (AI), Machine Learning & Deep Learning training compare to self-study options?
Compared to self-study, Koenig’s training offers structured learning, expert instructors, and 30-day lab access, significantly increasing exam success rates. With Guaranteed-to-Run scheduling and post-training support, it delivers a higher ROI than unguided study, ensuring mastery through interactive sessions, real-world labs, and immediate expert doubt resolution.

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