Koenig Original Guaranteed-to-Run

Data Science: CNNs, RNNs & Transformers

The Data Science with Machine Learning & Deep Learning course by Koenig Original equips data analysts, data scientists, and aspiring AI professionals with advanced skills in Python, neural networks, NLP, and predictive modeling to solve real-world data challenges. Designed for professionals facing the industry’s growing demand—projected to exceed 300,000 skilled roles in India by 2024—it bridges the gap between theoretical knowledge and practical application using hands-on labs and real datasets.

This Koenig Original training prepares learners for deep learning and machine learning proficiency with 30-day lab access and Guaranteed-to-Run schedules. Trainees gain expertise in TensorFlow, PyTorch, and scikit-learn, enabling career advancement into high-impact AI and data science roles with average salaries exceeding ₹8.5 LPA in India.

40 Hours (5 Days)
Live Online / Classroom
0+ professionals trained

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Course Overview

The Data Science with Machine Learning & Deep Learning course by Koenig Original is a comprehensive program designed for aspiring data scientists, machine learning engineers, and data analysts seeking mastery in advanced data analytics and AI modeling. While not tied to a single vendor certification exam, this course equips learners with the skills required for roles such as Data Scientist, Machine Learning Specialist, and AI Researcher. With global demand for data science professionals projected to exceed 2.7 million job openings annually, organizations across finance, healthcare, and technology sectors are actively seeking experts proficient in predictive modeling and deep learning frameworks. This course delivers a structured curriculum that bridges foundational statistics with cutting-edge machine learning techniques, ensuring participants gain industry-relevant expertise.

Participants engage with a robust suite of technologies including Python, NumPy, Pandas, Scikit-Learn, Matplotlib, Seaborn, and TensorFlow, all delivered through hands-on labs in a cloud-based Jupyter Notebook environment. Students build and configure machine learning models such as linear and logistic regression, decision trees, random forests, and neural networks, culminating in a capstone project where they develop a recommender system using real-world datasets. The lab experience emphasizes practical implementation, including exploratory data analysis (EDA), feature engineering, model training, and evaluation using cross-validation techniques. This end-to-end project mirrors real-world data science workflows, enabling learners to deploy scalable solutions using Python integration with Spark and Hadoop.

This course prepares candidates for advanced data science certifications and career advancement in AI-driven industries. Graduates gain proficiency in neural networks and deep learning architectures, positioning them for roles requiring expertise in predictive analytics and natural language processing. According to industry reports, certified data science professionals earn median salaries exceeding $120,000 in the United States. Koenig Original differentiates itself with Guaranteed-to-Run sessions and 1-on-1 training options, ensuring personalized learning with official courseware. Upon completion, learners are equipped to drive data-informed decision-making and pursue senior-level positions in artificial intelligence and big data analytics.

What You'll Learn

✓Perform data cleaning and transformation efficiently with Python and Pandas, mastering techniques used in top data science projects.
✓Create compelling data visualizations using Matplotlib, Seaborn, and Plotly to communicate insights clearly and effectively.
✓Develop and assess machine learning models with scikit-learn, enabling you to solve real-world data problems confidently.
✓Implement K-Means Clustering and Principal Component Analysis (PCA) for unsupervised learning, enhancing your data analysis skills.
✓Build neural networks and deep learning models with Keras, gaining hands-on experience with industry-standard frameworks.
✓Deploy comprehensive data science solutions from start to finish using Jupyter notebooks and Koenig’s proven workflows, preparing you for immediate industry impact.

Prerequisites

Recommended knowledge before taking this course
  • "prerequisites": [
  • "Proficiency in Python programming, including NumPy and Pandas, is essential for mastering the Data Science with Machine Learning & Deep Learning course by Koenig Original. These skills enable effective data manipulation and analysis, which are crucial for success in this field.",
  • "A solid understanding of fundamental statistical concepts such as probability distributions, hypothesis testing, and regression analysis is vital. These form the backbone of data-driven decision-making in the Data Science with Machine Learning & Deep Learning certification.",
  • "Familiarity with linear algebra topics like vectors, matrices, eigenvalues, and matrix multiplication helps in understanding complex algorithms used in machine learning and deep learning models.",
  • "Basic calculus knowledge, including derivatives, gradients, and optimization techniques, is necessary to grasp how algorithms improve and learn from data in this course.",
  • "Experience with Jupyter Notebooks or similar interactive Python environments is recommended. These tools streamline data analysis workflows, making learning more efficient and practical.",
  • "A foundational exposure to machine learning concepts such as supervised versus unsupervised learning and model evaluation metrics will help you quickly adapt to the advanced topics covered in the Data Science with Machine Learning & Deep Learning program by Koenig Original."
  • ]
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Certification Exam

Everything you need to know about the Data Science: CNNs, RNNs & Transformers certification exam

Exam Details
Exam Name
Format
Multiple choice, labs & case studies
Questions
Duration
Passing Score
Validity
Retake Policy
24 hours after first attempt; 14 days for subsequent retakes
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Data Science: CNNs, RNNs & Transformers

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Course Curriculum

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

1
Day 1– Master Python for Data Analysis and Visualization
Python Programming Fundamentals Jupyter Notebook Environment Setup Data Analysis with Numpy Arrays Data Manipulation using Pandas Static Visualization with Matplotlib Statistical Graphics using Seaborn Integrated Pandas Plotting Tools Interactive Mapping with Plotly
2
Day 2– Foundations of Machine Learning with Koenig
Machine Learning Core Concepts Predictive Linear Regression Models Bias Variance Trade-off Analysis Logistic Regression Classifiers K Nearest Neighbors Algorithms Decision Trees and Random Forests Support Vector Machine Optimization K Means Clustering Techniques
3
Day 3– Advanced Machine Learning and Deep Learning
Principal Component Analysis Methods Building Scalable Recommender Systems Natural Language Processing Workflows Neural Networks and Deep Learning Feature Engineering Best Practices Data Train-Test Split Strategies Model Evaluation Metric Analysis Hyperparameter Tuning for Accuracy
4
Day 4– Deep Learning and Model Optimization Mastery
Deep Learning with Python Frameworks Designing Robust Neural Networks Activation Functions and Optimizers Backpropagation and Gradient Descent Overfitting and Regularization Tactics Advanced Cross-Validation Methods Bias-Variance Tradeoff Resolution Model Persistence and Deployment
5
Day 5– Big Data Science and Capstone Implementation
Big Data Analytics with Spark PySpark Data Processing Pipelines Capstone Project Data Analysis Capstone Machine Learning Modeling End-to-End Data Science Workflow Real-World Use Case Implementation Model Performance Evaluation Metrics Data Science Project Presentation

What's Included in Your Training

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

Career Outcomes

82%

of Data Science: CNNs, RNNs & Transformers certified professionals report career advancement within 6 months

Salary Impact

+28%

Average salary increase reported after obtaining the Data Science: CNNs, RNNs & Transformers 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
  • Data Scientist
  • Machine Learning Engineer
  • Deep Learning Engineer
  • AI Engineer
  • ML Ops Engineer
  • Data Science Lead

Companies Hiring

5,000+
Google Microsoft Amazon Meta Accenture Deloitte TCS JPMorgan Chase IBM Capgemini

and 5,000+ organizations worldwide seeking Data Science: CNNs, RNNs & Transformers 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+
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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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    Azure Administrator

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    “I trained 15 of my team members for SC-200. Koenig's on-site delivery was seamless and all 15 passed within 3 months.”

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  • ★★★★★

    “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.”

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    Business Intelligence Lead

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  • ★★★★★

    “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

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  • ★★★★★

    “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.”

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    James T.

    Head of L&D, UK Enterprise

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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.”

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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.”

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    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 Data Science: CNNs, RNNs & Transformers training course

Is the certification exam included in the Data Science with Machine Learning & Deep Learning course fee?
The certification exam is not included in the Data Science with Machine Learning & Deep Learning course fee; exam vouchers are optional and purchased separately. Koenig Solutions lists exam fees as add-ons, and candidates must verify exact costs with the official certification body, as Koenig's pricing varies by region and specific exam.
What training formats are available for the Data Science with Machine Learning & Deep Learning course?
Koenig offers Data Science with Machine Learning & Deep Learning in Live Online, Classroom, 1-on-1, and Flexi self-paced formats, all featuring Guaranteed-to-Run scheduling. Live Online and Classroom sessions are expert instructor-led, while Flexi provides on-demand video access, ensuring flexibility and guaranteed availability for students across 50+ global cities.
How long is lab access provided for the Data Science with Machine Learning & Deep Learning course?
Lab access is provided for 6 months via Koenig's TechLabs cloud sandbox, which supports hands-on practice in data science and machine learning. Labs are optional and purchased separately, offering a secure, browser-accessible platform for real-world experimentation with Python, deep learning frameworks, and essential data analysis tools.
What is the rescheduling and cancellation policy for the Data Science with Machine Learning & Deep Learning course?
Koenig allows free rescheduling for the Data Science with Machine Learning & Deep Learning course if requested 10 days before the start date; cancellations within 10 days incur a 50% fee. The same training cannot be rescheduled more than once, and all changes must be coordinated through Koenig's support team.
What is the exam format for the certification associated with Data Science with Machine Learning & Deep Learning?
The course prepares for vendor-specific certifications like AWS or Google Cloud ML exams, which typically include 50–60 multiple-choice questions, a 90–120 minute time limit, and a passing score of 750/1000. Specifics vary by vendor, and Koenig's training aligns with these real-world exam patterns to ensure candidate readiness.
How long is the Data Science with Machine Learning & Deep Learning certification valid?
Certification validity depends on the issuing vendor, such as AWS or Google Cloud, typically lasting 2–3 years; renewal requires passing the current version of the exam. Koenig does not set renewal policies but provides updated training to help candidates recertify with the latest industry exam objectives.
What post-training support does Koenig provide after the Data Science with Machine Learning & Deep Learning course?
Koenig provides 30 days of post-training support including access to course materials, a completion certificate, and optional doubt-clearing sessions; Flexi learners get 6 hours of free trainer consultation. Additional 4-hour live sessions are available for purchase, and learners retain access to recordings and labs for revision.
What are the prerequisites for the Data Science with Machine Learning & Deep Learning course?
Prerequisites include basic knowledge of Python programming, statistics, and data structures; familiarity with machine learning concepts is recommended. Koenig suggests learners have foundational math skills and some programming experience to fully benefit from the course's advanced topics in deep learning and data modeling.
What is the career impact of completing the Data Science with Machine Learning & Deep Learning course?
Professionals with data science and machine learning skills earn median salaries of $112,590, with mid-career roles exceeding $160,000; specialization in deep learning can increase compensation by 20–30%. Certification enhances job prospects in high-demand fields like AI engineering and data analytics.
How does instructor-led training compare to self-study for Data Science with Machine Learning & Deep Learning?
Instructor-led training offers real-time interaction, doubt resolution, and structured learning, while self-paced Flexi allows flexible access to videos for 6–12 months. Instructor-led formats include labs and live support, leading to higher engagement and success rates compared to self-study, which requires significant self-discipline.

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