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Deep Learning Course (with Keras & TensorFlow) Intermediate

The Deep Learning Course (with Keras and TensorFlow) by Open Source equips data scientists and machine learning engineers with practical skills to build and deploy advanced neural networks using industry-standard tools. It addresses the growing demand for AI expertise, with the U.S. Bureau of Labor Statistics projecting 36 percent job growth for data scientists by 2031. This curriculum is superior to other free resources because it is curated by industry practitioners with over 10 years of production experience.

This course prepares learners for the TensorFlow Developer Certificate, validating their proficiency in building and training deep learning models. Graduates gain the technical expertise required to secure roles as AI engineers or deep learning specialists. Start building production-ready models today.

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

Training Formats & Pricing

1-on-1 USD 2,150
Dedicated instructor, your schedule Fastest
Public Batch USD 1,700
Group class, fixed schedule Most Popular
Self-Paced On Request
Recorded sessions, learn anytime Best Value

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Course Overview

The Deep Learning Course (with Keras & TensorFlow) by Open Source is designed for data scientists, machine learning engineers, and AI developers seeking to master modern deep learning techniques using the industry-standard TensorFlow framework. This course prepares learners for the Google TensorFlow Developer Certificate exam, equipping them with practical skills in neural network design, model training, and deployment. With 36% projected job growth for data scientists through 2033 according to the U.S. Bureau of Labor Statistics, expertise in TensorFlow and Keras is increasingly sought after by leading tech firms and enterprises integrating AI into their workflows.

Students engage with core technologies including TensorFlow 2.x, Keras Sequential and Functional APIs, Convolutional Neural Networks (CNNs), Generative Adversarial Networks (GANs), Transformers, and TensorFlow.js for deployment. The hands-on labs are conducted in a cloud-based Python environment where learners build and train models for real-world applications such as image classification, sentiment analysis, and object detection. A capstone project involves developing an end-to-end deep learning application—such as a facial recognition system or a text-generating Transformer—using transfer learning and hyperparameter tuning, all implemented within Jupyter Notebooks and integrated with TensorFlow’s ecosystem.

This course provides direct preparation for the Google TensorFlow Developer Certificate, a recognized credential validating practical proficiency in building and deploying deep learning models. Professionals with TensorFlow expertise earn an average annual salary of $119,147, with machine learning engineers commanding up to $130,198, according to Coursera’s 2025 salary data. Koenig Solutions enhances learning with its Guaranteed-to-Run delivery and access to official courseware, ensuring structured, instructor-led training. Graduates are positioned to advance into senior AI roles, contributing to innovation in natural language processing, computer vision, and autonomous systems.

What You'll Learn

Build deep neural networks using TensorFlow to achieve 95%+ accuracy on complex classification tasks.
Design sophisticated CNN architectures with Keras to improve image recognition accuracy by at least 15% over baseline models.
Develop Transformer models with TensorFlow to master state-of-the-art NLP applications, meeting industry-standard BLEU score benchmarks.
Create custom Keras models and layers to tailor AI solutions, reducing inference latency by 20% compared to standard implementations.
Train Generative Adversarial Networks (GANs) with TensorFlow and Keras to generate high-fidelity data with a Fréchet Inception Distance (FID) score below 30.
Optimize deep learning models using Keras Tuner to reduce training time by 25% while maintaining model performance metrics.

Skills You'll Gain

Neural Networks Keras Sequential API TensorFlow 2 Integration Convolutional Neural Networks Keras Functional API Recurrent Neural Networks Keras Transfer Learning TensorFlow Data Pipelines Keras Custom Layers Generative Adversarial Networks TensorFlow Model Optimization Keras Hyperparameter Tuning TensorFlow Object Detection API Keras Autoencoders TensorFlow for Time Series Keras Reinforcement Learning Transformer Models with Keras

Prerequisites

Recommended knowledge before taking this course
  • Python 3.8 or higher programming proficiency is required for the Deep Learning Course (with Keras & TensorFlow) by Open Source.
  • Practical experience with data manipulation libraries including NumPy and pandas is necessary for dataset handling.
  • Foundational knowledge of machine learning concepts such as supervised and unsupervised learning is required.
  • Understanding of neural network fundamentals including forward propagation, backward propagation, gradient descent, and loss functions is essential.
  • Experience building and training models using TensorFlow 2.x and Keras is required for course participation.
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Certification Exam

Everything you need to know about the Deep Learning Course (with Keras & TensorFlow) certification exam

Exam Details
Exam Name
Deep Learning Course (with Keras & TensorFlow)
Format
Multiple choice, labs & case studies
Questions
Duration
Passing Score
Validity
Retake Policy
Unlimited attempts allowed for the course-specific final project
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Deep Learning Course (with Keras & TensorFlow)

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Course Curriculum

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

1
Day 1– Python Programming Fundamentals
Deep Learning Course Overview Python Basics for Data Science Managing Lists, Dictionaries, Sets & JSON Efficient Data File Handling Advanced Functions, Lambdas, and Map/Reduce
2
Day 2– Pandas for Machine Learning
Pandas Essentials for Deep Learning Encoding Categorical Data in Pandas Data Grouping, Sorting, and Shuffling Applying Map Functions in Pandas Strategic Feature Engineering in Pandas
3
Day 3– TensorFlow and Keras Neural Networks
Deep Learning and Neural Network Theory Mastering Open Source TensorFlow & Keras Saving and Loading Keras Neural Networks Implementing Early Stopping to Prevent Overfitting Extracting Weights and Manual Network Calculation
4
Day 4– Training Models with Tabular Data
Encoding Feature Vectors for Keras Models Multiclass Classification using ROC and AUC Keras Regression Models using RMSE Backpropagation, Nesterov Momentum, and ADAM Calculating RMSE and Log Loss Manually
5
Day 5– Regularization and Dropout Techniques
Regularization: Ridge and Lasso Explained K-Fold Cross Validation in Keras Applying L1 and L2 Regularization Using Dropout to Minimize Model Overfitting Bootstrapping and Benchmarking Hyperparameters

What's Included in Your Training

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

Career Outcomes

88%

of Deep Learning Course (with Keras & TensorFlow) certified professionals report career advancement within 6 months

Salary Impact

+28%

Average salary increase reported after obtaining the Deep Learning Course (with Keras & TensorFlow) 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
  • Deep Learning Engineer
  • AI Research Engineer
  • Data Scientist
  • ML Operations Engineer
  • AI Software Developer

Companies Hiring

5,000+
Google Microsoft Amazon IBM Accenture Deloitte JPMorgan Chase Intel Samsung Salesforce

and 5,000+ organizations worldwide seeking Deep Learning Course (with Keras & TensorFlow) certified professionals

Meet Your Instructor

👤
Kuldeep Singh
6+
Years Exp.
5,000+
Students
4.9
Avg Rating

With an academic background in Computer Science and extensive experience in training corporate clients worldwide, I have developed strong expertise across a wide range of platforms and technologies, including Azure, CertNexus, Databricks, and AWS. I am well-versed in programming languages such as Python, Python for Machine Learning, R, Julia, and other object-oriented programming languages. I also hold multiple certifications, including DP-100, AI-102, AI-900, AZ-204, AZ-220, AZ-400, machine learning associate in Databricks and the AWS Machine Learning Specialty. Since the last few years I am also working with agentic AI technology where we can create agents specific to some task and also generic agents using GUI platform and also using code-based approach.

For the past five years, I have been associated with Koenig, where I have delivered high-quality training to clients across various industries. My industry exposure, technical proficiency, and passion for continuous learning enable me to consistently deliver results and contribute significant value to any organization.

 

Associated with Koenig since February 2020.


 

 

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 Deep Learning Course (with Keras & TensorFlow) training course

Is the Deep Learning certification exam included in the Deep Learning Course (with Keras & TensorFlow) fee?
The Deep Learning Course (with Keras & TensorFlow) does not include the TensorFlow Developer Certificate exam. This separate assessment costs $100 for one attempt. Koenig Solutions facilitates optional exam voucher purchases, but the exam is managed by Google, and the fee is paid directly to them during registration.
What training formats are available for the Deep Learning Course (with Keras & TensorFlow) at Koenig Solutions?
Koenig Solutions offers the Deep Learning Course (with Keras & TensorFlow) via live instructor-led, 1-on-1 personalized, classroom, and self-paced (Flexi) formats. All formats feature Guaranteed-to-Run (GTR) sessions. GTR ensures your training proceeds as scheduled even with a single participant, providing reliable, professional planning for your career development goals.
How long is lab access provided for the Deep Learning Course (with Keras & TensorFlow)?
You receive 6 months of lab access for the Deep Learning Course (with Keras & TensorFlow) starting from your course delivery date. Access is provided via Koenig’s TechLabs, a secure, cloud-based sandbox environment. This platform supports TensorFlow and Keras frameworks, allowing you to practice model building, training, and deployment in a professional, real-world setting.
What is the rescheduling and cancellation policy for the Deep Learning Course (with Keras & TensorFlow)?
Koenig Solutions permits free rescheduling for the Deep Learning Course (with Keras & TensorFlow). Cancellations made within 10 days of the start date incur a 50% fee. This policy balances flexibility with commitment, ensuring high-quality training standards. Detailed terms are available in Koenig’s official Terms of Service for all live and classroom sessions.
What is the format and difficulty of the Deep Learning certification exam?
The TensorFlow Developer Certificate, aligned with the Deep Learning Course (with Keras & TensorFlow), is a 5-hour, open-book, performance-based exam. It features five coding challenges in PyCharm. Each task is scored out of 5, testing your practical TensorFlow and Keras skills. Success requires high accuracy in image classification, NLP, and time series models.
How long is the Deep Learning certification valid, and what is the renewal process?
The TensorFlow Developer Certificate, earned after the Deep Learning Course (with Keras & TensorFlow), is valid for 3 years. Renewal requires passing the current version of the exam. There is no fee waiver or continuing education path, as Google mandates recertification to verify your ongoing proficiency in the latest TensorFlow 2.x frameworks.
What post-training support does Koenig provide after the Deep Learning Course (with Keras & TensorFlow)?
After the Deep Learning Course (with Keras & TensorFlow), Koenig provides 6 months of access to class recordings, optional doubt-clearing sessions, and a completion certificate. Flexi-mode learners receive 6 hours of free trainer consultation. This support ensures you reinforce your skills and successfully apply deep learning techniques to your professional projects.
What are the prerequisites for the Deep Learning Course (with Keras & TensorFlow)?
The Deep Learning Course (with Keras & TensorFlow) requires foundational Python knowledge, basic machine learning concepts, and familiarity with NumPy or pandas. While not mandatory, prior exposure to neural networks is helpful. Koenig recommends these skills to ensure you successfully master building and training advanced models using the TensorFlow 2.x ecosystem.
What is the career impact of completing the Deep Learning Course (with Keras & TensorFlow)?
Completing the Deep Learning Course (with Keras & TensorFlow) qualifies you for roles like Machine Learning Engineer, averaging $119,147 annually, with potential earnings up to $207,000 for senior experts. Certification significantly boosts your market value in high-demand tech hubs like San Jose ($225,590) and Seattle ($163,640), according to recent BLS and industry data.
How does the Deep Learning Course (with Keras & TensorFlow) compare to self-study?
Koenig’s Deep Learning Course (with Keras & TensorFlow) provides structured, instructor-led training with hands-on labs and GTR scheduling. This enables mastery in weeks rather than months of self-study. With expert guidance and direct doubt resolution, you achieve certification readiness up to 50% faster than through unguided, independent learning paths.
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