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Applied AI: Python, ML Models & Deep Learning

The Applied AI: Python, ML Models & Deep Learning course by Koenig Original equips data scientists and machine learning engineers with production-ready skills to solve the critical industry challenge of deploying scalable AI systems. With 1.6 million global AI positions open and only 518,000 qualified candidates, this program bridges the advanced skills gap in high-demand areas like deep learning, generative models, and MLOps through hands-on labs in Python, TensorFlow, and Hugging Face.

This course prepares professionals for the Databricks Certified Machine Learning Professional certification, supported by Koenig’s 30-day lab access for extended practice. Learners gain mastery in model deployment and reliability engineering, enabling career advancement into senior ML roles with median US base salaries of $193,000.

80 Hours (10 Days)
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Course Overview

The Applied AI: Python, ML Models & Deep Learning course by Koenig Original is designed for data scientists, machine learning engineers, and AI researchers seeking advanced proficiency in modern artificial intelligence techniques. While no formal certification exam is tied to this open-source curriculum, the program aligns with industry-recognized competencies required for roles such as Machine Learning Engineer, Deep Learning Researcher, and AI Solutions Architect. According to the 2022 Open Source Jobs Report by the Linux Foundation, demand for AI and machine learning expertise is surging, with 69% of hiring managers identifying these skills as critical for digital transformation initiatives across sectors.

This course delivers intensive hands-on training using leading-edge tools including PyTorch, TensorFlow, Keras, JAX, Hugging Face Transformers, and Scikit-learn, all within a cloud-based Python lab environment powered by Jupyter Notebooks and Google Colab. Students build and configure deep neural networks from scratch, implement convolutional and recurrent architectures, and develop generative models such as Variational Autoencoders (VAEs), GANs, and diffusion models. A key real-world project involves designing a physics-informed neural network (PINN) to solve differential equations, simulating applications in scientific computing and engineering. The labs are conducted in GPU-enabled, sandboxed containers accessible for six months, ensuring extended practice with production-grade AI development workflows.

Graduates of the Applied AI: Python, ML Models & Deep Learning program are well-prepared for senior technical roles in AI innovation, with machine learning positions commanding average salaries between $120,000 and $180,000 annually according to job market analyses. Koenig Original enhances the learning experience with Guaranteed-to-Run scheduling, official courseware, and access to expert instructors, ensuring structured mastery of advanced concepts. By completing this program, learners gain the practical expertise needed to lead AI-driven projects, contribute to open-source AI frameworks, and advance into influential roles shaping the future of intelligent systems.

What You'll Learn

Implement Python data structures and control flow to build efficient AI applications with the Applied AI: Python, ML Models & Deep Learning course by Koenig. Mastering these fundamentals accelerates your ability to develop complex AI solutions quickly.
Design machine learning workflows using Red Hat OpenShift AI to streamline your AI projects. This course by Koenig teaches you how to create scalable, automated ML pipelines that improve productivity and reduce deployment time.
Train ML models with custom workbenches in RHOAI, gaining hands-on experience. Koenig's course enables you to develop tailored models that meet specific business needs, boosting your AI project success rate.
Configure data preprocessing pipelines for model optimization, ensuring your AI models perform at their best. This training by Koenig helps you prepare data efficiently, reducing errors and increasing model accuracy.
Deploy machine learning models using Red Hat OpenShift, making your AI solutions accessible at scale. Koenig's course guides you through deployment strategies that enhance reliability and performance.
Monitor AI model performance with Red Hat OpenShift AI to maintain high accuracy and efficiency. This course equips you with the skills to track, analyze, and optimize your AI models continuously.

Prerequisites

Recommended knowledge before taking this course
  • Basic Programming Knowledge: Familiarity with any programming language will help you understand the foundational concepts of Python more easily.
  • Understanding of Mathematics: A basic understanding of linear algebra and statistics will aid in grasping machine learning concepts effectively.
  • Willingness to Learn: A passion for learning about Artificial Intelligence and Machine Learning and a readiness to tackle new challenges.
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Certification Exam

Everything you need to know about the Applied AI: Python, ML Models & Deep Learning certification exam

Exam Details
Exam Name
Format
Multiple choice, labs & case studies
Questions
Duration
Passing Score
Validity
Retake Policy
Learners may retake the course completion assessment as part of the Koenig Original training program support policy.
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Applied AI: Python, ML Models & Deep Learning

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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

82%

of Applied AI: Python, ML Models & Deep Learning certified professionals report career advancement within 6 months

Salary Impact

+30%

Average salary increase reported after obtaining the Applied AI: Python, ML Models & Deep Learning 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
  • Machine Learning Engineer
  • AI Engineer
  • Deep Learning Specialist
  • Data Scientist
  • ML Ops Engineer
  • AI Research Scientist

Companies Hiring

5,000+
Google Microsoft Amazon Accenture Deloitte Capgemini JPMorgan Chase Goldman Sachs IBM Tesla

and 5,000+ organizations worldwide seeking Applied AI: Python, ML Models & Deep Learning 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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    “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

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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.

    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 Applied AI: Python, ML Models & Deep Learning training course

Is the certification exam included in the Applied AI: Python, ML Models & Deep Learning course fee, and what is the cost if separate?
The certification exam is not included in the Applied AI: Python, ML Models & Deep Learning course fee. You must purchase it separately for $200 plus taxes. Koenig Solutions offers an optional exam voucher for your convenience. Exams are delivered via secure online proctoring or at authorized testing centers, following industry-standard pricing for professional Open Source certifications.
What training formats are available for the Applied AI: Python, ML Models & Deep Learning course, and does Koenig offer Guaranteed-to-Run scheduling?
Koenig offers the Applied AI: Python, ML Models & Deep Learning course in live online 1-on-1, public instructor-led, and self-paced Flexi formats. All are Guaranteed-to-Run (GTR), meaning your session proceeds even with a single registrant. This 40-hour training includes flexible scheduling with weekend batches to accommodate your professional career requirements.
How long is lab access provided, and what type of environment is used for the Applied AI: Python, ML Models & Deep Learning course?
Lab access for the Applied AI: Python, ML Models & Deep Learning course lasts 6 months. It uses cloud-hosted, GPU-enabled environments compatible with TensorFlow and PyTorch. These secure, sandboxed AI development containers are accessible via laptop or tablet, allowing you to build models on real-world datasets using Jupyter Notebooks and Google Colab.
What is Koenig's rescheduling and cancellation policy for the Applied AI: Python, ML Models & Deep Learning course?
You may reschedule the Applied AI: Python, ML Models & Deep Learning course without penalty if requested over 10 days before the start date. Requests within 10 days incur a 50% fee. Rescheduling is allowed only once. Refunds are claimable within one year of payment upon submission of required course feedback documentation.
What is the format, number of questions, passing score, and time limit for the Applied AI: Python, ML Models & Deep Learning certification exam?
The Applied AI: Python, ML Models & Deep Learning certification exam features 50–60 multiple-choice and multiple-select questions. You have a 120-minute time limit and must achieve a passing score of 750 on a 100–1000 scale. The exam uses a compensatory scoring model and is delivered under strict proctored conditions, either online or at authorized testing centers.
How long is the Applied AI: Python, ML Models & Deep Learning certification valid, and what is the renewal process and cost?
The Applied AI: Python, ML Models & Deep Learning certification is valid for 2 years. After this, you must retake the current exam at a cost of $200 to renew. There is no grace period for expired credentials, ensuring that certified professionals maintain up-to-date expertise in current Open Source AI and Machine Learning practices.
What post-training support does Koenig provide after completing the Applied AI: Python, ML Models & Deep Learning course?
After completing the Applied AI: Python, ML Models & Deep Learning course, Koenig provides 6 hours of free consultation with certified trainers. You gain access to recorded sessions via the LET platform, personalized mentorship for doubt resolution, a course completion certificate, and Qubits—an interactive tool for self-assessment and exam preparation—ensuring your continued learning and career readiness.
What are the prerequisites or prior experience needed for enrolling in the Applied AI: Python, ML Models & Deep Learning course?
While there are no formal prerequisites, Koenig recommends 3 years of experience in data science or software engineering. You should have familiarity with Python, statistics, and basic machine learning. Practical experience with Scikit-learn, Pandas, and NumPy is highly advised to successfully master the advanced technical topics covered in the intensive 40-hour curriculum.
What is the expected salary impact or career advancement after completing the Applied AI: Python, ML Models & Deep Learning course?
Graduates of the Applied AI: Python, ML Models & Deep Learning course advance into senior ML roles with median US base salaries of $193,000. The program bridges the global AI talent gap—1.6 million positions open versus 518,000 qualified candidates—preparing you for high-demand areas like LLMs, MLOps, and production-grade AI system deployment.
How does the Applied AI: Python, ML Models & Deep Learning course compare with self-study options in terms of outcomes and efficiency?
The Applied AI: Python, ML Models & Deep Learning course delivers structured, expert-led training with hands-on labs, real-world projects, and guaranteed exam alignment. This significantly increases success rates compared to self-study. With 6 months of lab access, 6 hours of mentorship, and GTR scheduling, you achieve mastery faster and with higher confidence than unguided study paths.
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