TensorFlow Developer Certificate in 2021: Zero to Mastery
Learn TensorFlow. Pass the TensorFlow Developer Certificate Exam. Get Hired as a TensorFlow developer. This course will take you from a TensorFlow beginner to being part of Google's Certification Network.
What you'll learn
- ✓Learn to pass Google's official TensorFlow Developer Certificate exam (and add it to your resume)
- ✓Complete access to ALL interactive notebooks and ALL course slides as downloadable guides
- ✓Understand how to integrate Machine Learning into tools and applications
- ✓Build image recognition, object detection, text recognition algorithms with deep neural networks and convolutional neural networks
- ✓Applying Deep Learning for Time Series Forecasting
- ✓Be recognized as a top candidate for recruiters seeking TensorFlow developers
- ✓Build TensorFlow models using Computer Vision, Convolutional Neural Networks and Natural Language Processing
- ✓Increase your skills in Machine Learning and Deep Learning
- ✓Learn to build all types of Machine Learning Models using the latest TensorFlow 2
- ✓Using real-world images in different shapes and sizes to visualize the journey of an image through convolutions to understand how a computer “sees” information, plot loss and accuracy
- ✓Gain the skills you need to become a TensorFlow Certified Developer
Meet your instructor
Machine Learning Engineer and Instructor
Daniel Bourke is a self-taught Machine Learning Engineer who has worked at one of Australia's fastest-growing artificial intelligence agencies, Max Kelsen, where he worked on machine learning and data problems across a wide range of industries.
He knows what it's like to try and learn a new topic, online and on your own. So he pours his soul into making sure his courses are as accessible as possible and takes complicated topics and explains them in an entertaining, yet simple and educative way.
Why Zero To Mastery is right for you
With so many online resources available, it can be paralyzing not only figuring out where to start but more importantly which courses will actually teach you the skills you need to get hired.
That’s why the Zero To Mastery Academy exists, to provide industry-leading courses and content to teach you the relevant skills you need to advance your career and get you hired at some of the top companies in the world.
Join now to get complete access to this course and all others for only $23/month.
We want you to make sure this course is a good fit for you. So start learning for free right now by clicking the PREVIEW links below.
Learn TensorFlow, pass the TensorFlow Developer Certificate exam and get hired as a Machine Learning Engineer making $100,000+ a year. Taught by TensorFlow Certified Expert, Daniel Bourke, this course will take you step-by-step from an absolute beginner with TensorFlow to becoming part of Google's TensorFlow Certification Network.
TensorFlow developers earn US$148,000 on average with some earning over US$200,000 according to 2021 statistics from ZipRecruiter. By passing the exam and getting the TensorFlow Developer Certificate (officially recognized by Google), you will be part of Google's TensorFlow Developer Network where recruiters are able to find you.
Graduates of Zero To Mastery are now working at Google, Tesla, Amazon, Apple, IBM, JP Morgan, Facebook, Shopify + other top tech companies. This could be you.
By enrolling today, you’ll also get to join our exclusive live online community classroom to learn alongside thousands of students, alumni, mentors, TAs and Instructors. Most importantly, you will be learning TensorFlow from an industry expert with actual real-world experience and is TensorFlow certified.
The goal of this course is to teach you all the skills necessary for you to pass this exam and get your TensorFlow Certification so you can display it on your resume, LinkedIn, Github and other social media platforms to make you stand out as a top candidate for recruiters looking for TensorFlow developers.
Here is a full course breakdown of everything you will learn:
This TensorFlow course is very hands-on and project based. You won't just be staring at us teach and code. We'll leave that for other tutorials and courses.
You will actually be running experiments, doing exercises and building real-world machine learning models and projects to mimic real life scenarios. We will also show you what the TensorFlow exam will look like for you. By the end of it all, you will develop the skillset needed to develop modern deep learning solutions that big tech companies encounter.
Fair warning, this course is very comprehensive, but don't be intimidated, we will teach you everything from scratch!
0 — TensorFlow Fundamentals
- Introduction to tensors (creating tensors)
- Getting information from tensors (tensor attributes)
- Manipulating tensors (tensor operations)
- Tensors and NumPy
- Using @tf.function (a way to speed up your regular Python functions)
- Using GPUs with TensorFlow
1 — Neural Network Regression with TensorFlow
- Build TensorFlow sequential models with multiple layers
- Prepare data for use with a machine learning model
- Learn the different components which make up a deep learning model (loss function, architecture, optimization function)
- Learn how to diagnose a regression problem (predicting a number) and build a neural network for it
2 — Neural Network Classification with TensorFlow
- Learn how to diagnose a classification problem (predicting whether something is one thing or another)
- Build, compile & train machine learning classification models using TensorFlow
- Build and train models for binary and multi-class classification
- Plot modelling performance metrics against each other
- Match input (training data shape) and output shapes (prediction data target)
3 — Computer Vision and Convolutional Neural Networks with TensorFlow
- Build convolutional neural networks with Conv2D and pooling layers
- Learn how to diagnose different kinds of computer vision problems
- Learn to how to build computer vision neural networks
- Learn how to use real-world images with your computer vision models
4 — Transfer Learning with TensorFlow Part 1: Feature Extraction
- Learn how to use pre-trained models to extract features from your own data
- Learn how to use TensorFlow Hub for pre-trained models
- Learn how to use TensorBoard to compare the performance of several different models
5 — Transfer Learning with TensorFlow Part 2: Fine-tuning
- Learn how to setup and run several machine learning experiments
- Learn how to use data augmentation to increase the diversity of your training data
- Learn how to fine-tune a pre-trained model to your own custom problem
- Learn how to use Callbacks to add functionality to your model during training
6 — Transfer Learning with TensorFlow Part 3: Scaling Up (Food Vision mini)
- Learn how to scale up an existing model
- Learn to how evaluate your machine learning models by finding the most wrong predictions
- Beat the original Food101 paper using only 10% of the data
7 — Milestone Project 1: Food Vision
- Combine everything you've learned in the previous 6 notebooks to build Food Vision: a computer vision model able to classify 101 different kinds of foods. Our model well and truly beats the original Food101 paper.
8 — NLP Fundamentals in TensorFlow
- Learn to:
- Preprocess natural language text to be used with a neural network
- Create word embeddings (numerical representations of text) with TensorFlow
- Build neural networks capable of binary and multi-class classification using:
- RNNs (recurrent neural networks)
- LSTMs (long short-term memory cells)
- GRUs (gated recurrent units)
- Learn how to evaluate your NLP models
- Replicate a the model which powers the PubMed 200k paper to classify different sequences in PubMed medical abstracts (which can help researchers read through medical abstracts faster)
- Learn how to diagnose a time series problem (building a model to make predictions based on data across time, e.g. predicting the stock price of AAPL tomorrow)
- Prepare data for time series neural networks (features and labels)
- Understanding and using different time series evaluation methods
- MAE — mean absolute error
- Build time series forecasting models with TensorFlow
- RNNs (recurrent neural networks)
- CNNs (convolutional neural networks)
- If you've read this far, you are probably interested in the course. This last project will be good... we promise you, so see you inside the course ;)
9 — Milestone Project 2: SkimLit
10 — Time Series fundamentals in TensorFlow
11 — Milestone Project 3: (Surprise)
TensorFlow's growth and adoption is exploding which means more and more job openings are appearing for this specialized knowledge. Companies like Google, Airbnb, Uber, DeepMind, Intel, IBM, Twitter, and many others are currently powered by TensorFlow. TensorFlow is even outgrowing other popular Machine Learning tools like PyTorch in the job market.
We guarantee you this is the most comprehensive online course on passing the TensorFlow Developer Certificate and qualify you as a TensorFlow expert. So why wait? Advance your career and earn a higher salary by becoming a Google Certified Developer and adding TensorFlow to your toolkit.
Click Start Learning Now to join the Academy. We'll see you inside the course!
Answers to (at least some of) your questions
Are there any prerequisites for this course?
- No previous TensorFlow knowledge required. Basic understanding of Machine Learning is helpful but if you've taken Daniel's Machine Learning course (part of the ZTM Academy), you're all set!
- Mac / Windows / Linux - any operating systems will work
Why should I learn TensorFlow and get the TensorFlow Developer Certificate?
- Lots of jobs available: Used by major companies like Google, Airbnb, Uber, DeepMind, Intel, IBM, Twitter means there is huge job demand for TensorFlow developers. TensorFlow is outgrowing other popular ML tools like PyTorch in the job market.
- High demand = High salary: Per ZipRecruiter, the avg annual salary for a TensorFlow developer in the United States is $148,508.
- Old fashioned FUN: Learning TensorFlow allows you to build deep learning models for a range of tasks such as regression, computer vision (finding patterns in images), natural language processing (finding patterns in text) and time series forecasting (predicting future trends given a range of past events). That's pretty damn awesome!
Who is this course for?
- You want a step-by-step guide to pass the TensorFlow Developer Certificate exam so that you can join Google's Certificate Network and get hired at a top company, making over $100,000 / year
- You want to be recognized as a top tier quality candidate by recruiters at leading companies
- Anyone who wants to learn TensorFlow and how to pass the TensorFlow exam from an industry expert (Daniel Bourke) who has taken and passed the exam and has actually worked in the field
- Students, developers, and data scientists who want to demonstrate practical machine learning skills by actually building and training real models using TensorFlow
- Anyone looking to expand their knowledge when it comes to AI, Machine Learning and Deep Learning
- Anyone looking to get real-world experience building TensorFlow models using Computer Vision, Convolutional Neural Networks and Natural Language Processing with the latest version of TensorFlow
Do you provide a certificate of completion?
We definitely do and they are quite nice. You will also be able to add Zero To Mastery Academy to the education section of your LinkedIn profile as well.
Can I use the course projects in my portfolio?
Yes, you’d be crazy not to! You won't just be staring at us teach. You will actually be running experiments, doing exercises and building machine learning models and projects to mimic real life scenarios.
Many of our students tell us the projects they built while following along with our courses were what got them interviews and because they built the projects themselves, they could confidently explain and walk through their work during the interview. You know what that means? Job offer!
Can I download the videos?
Definitely. You can download any and all lessons for personal use. We do everything we can to make learning easy, fun, and accessible whether that’s on your commute, on a flight or if you just have limited access to good wifi.
Can I learn TensorFlow and pass the exam with free resources?
Yes, of course you can. You can go learn all the skills you need by going through the TensorFlow documentation. In fact, when I need to practice something, I copy the documentation examples verbatim (every line of code), practice understanding it line by line, then see if I can do it myself.
However, that will likely take you a long time. This course puts you on a fast track to passing the TensorFlow exam by providing you with a clear step-by-step guide with absolutely everything you need to learn in one place.
Still have more questions specific to the Academy membership? No problem, head to the bottom of this page.
Live the life you want, starting now
Learning data science and machine learning and becoming a Machine Learning Engineer provides endless opportunities to live the life you want. Whether that’s a high paying job with a world-class tech company, working remotely or building your own apps, the ZTM Academy will equip you with the skills and knowledge to achieve your dreams.
Our courses walk you through the entire journey of starting to learn to code to having a successful career in the tech industry. Along the way, you’ll not only be supported by Daniel himself and our course TAs but also your thousands of peers in the exclusive Zero To Mastery community.
Join now to take the first step to change your life.