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TensorFlow: Essential Training

by Jonathan Fernandes · LinkedIn Learning

4.4
(4,200 reviews)
50K+ enrolled3 hoursUpdated 2024-06
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Our Verdict

Consider alternatives

We could not verify that a LinkedIn Learning course titled "TensorFlow: Essential Training" by Jonathan Fernandes actually exists: the catalog URL (linkedin.com/learning/tensorflow-essential-training) returns HTTP 404, the Wayback Machine holds zero archived snapshots of it, and LinkedIn Learning's own TensorFlow topic page lists no course by that name. Jonathan Fernandes's real, current TensorFlow catalog instead consists of three short (40-43 minute) courses: "TensorFlow: Neural Networks and Working with Tables," "TensorFlow 2.0: Working with Images," and "TensorFlow: Working with NLP." The closest real "Essential Training" title he teaches is "Neural Networks and Convolutional Neural Networks Essential Training" (1h 53m, intermediate level, re-released January 30, 2026), but that course is framework-mixed (Keras and PyTorch) rather than the TensorFlow-2-only, 3-hour beginner course described in this listing, so it is not a clean substitute. Because the specific course, its 3-hour duration, beginner level, and the 4.4 rating from 4,200 reviews cannot be confirmed against any primary source, we recommend treating this catalog entry as broken and choosing a verifiable alternative instead.

The course as listed cannot be verified: its LinkedIn Learning URL 404s, no archived version exists, and the title appears nowhere in LinkedIn Learning's current TensorFlow catalog or on Class Central. The advertised specs (TensorFlow 2 + Keras, text classification, model saving, 3 hours, beginner, 4.4 from 4,200 reviews) also do not match Jonathan Fernandes's actual TensorFlow courses, which are three separate ~40-minute modules, not one 3-hour essentials course. With a dead link and unverifiable metadata, learners should pick a confirmed, currently-published alternative rather than rely on this entry.

Best for: If a course matching this description did exist, it would suit absolute beginners who already know basic Python and want a fast, video-based first pass at building and training neural networks with TensorFlow 2 / Keras. In practice, because the listing is unverifiable, it is currently for no one as written; the nearest real fit is a learner who specifically wants Jonathan Fernandes's teaching and is comfortable with his actual short TensorFlow modules or his intermediate Neural Networks and CNNs Essential Training (which mixes Keras and PyTorch).

Skip if: Anyone who needs a reliable, currently-available course should skip this entry, since the link is broken. It is also wrong for people wanting deep, project-heavy or certificate-bearing TensorFlow training (the real Fernandes TensorFlow courses are short ~40-minute overviews), for those who want a single end-to-end 3-hour beginner path (which does not appear to exist under this name), and for learners who prize an externally verifiable rating, because no public numeric rating for this exact course could be confirmed.

About This Course

Build and train models with TensorFlow 2 covering Keras, CNNs, text classification, and model saving for deployment.

What You'll Learn

Nothing can be confirmed for the listed 'TensorFlow: Essential Training' itself, because that course does not exist on LinkedIn Learning (the URL 404s). The grounded outcomes below belong to the closest real Jonathan Fernandes course, 'Neural Networks and Convolutional Neural Networks Essential Training' (1h 53m, intermediate, verified syllabus), and apply only if you take that course instead
Build and train a feed-forward neural network in Keras on the FashionMNIST dataset, then test it - covering data analysis, defining the network, and parameter calculation (real syllabus: 'Neural Network Building Blocks' and 'Training a Neural Network' sections)
Understand the core mechanics of neural nets: neurons/artificial neurons, gradient descent, activation functions, backpropagation, loss functions, and optimizers, illustrated with the XOR problem and an interactive network visualization
Implement convolutional neural networks (CNNs) in PyTorch - including zero padding and pooling - and train/evaluate them on the CIFAR-10 image dataset
Connect classic vision concepts to current practice through the 'LLMs and CNNs' lesson and hands-on exercise files (note: this real course mixes Keras and PyTorch, not the TensorFlow-2-only stack the phantom listing advertises)

Prerequisites

  • Working knowledge of Python (writing functions, using libraries like NumPy/pandas)
  • Comfort running code in Jupyter notebooks or Google Colab
  • Basic familiarity with introductory machine learning / AI concepts is helpful
  • An active LinkedIn Learning subscription or free trial (this is paid, subscription-only content)

Instructor

Jonathan Fernandes

Instructor · LinkedIn Learning

Pros & Cons

Pros

  • Jonathan Fernandes is an experienced, well-regarded LinkedIn Learning instructor whose other deep-learning courses (e.g., PyTorch Essential Training, Neural Networks and CNNs Essential Training) are real and actively maintained
  • LinkedIn Learning includes a shareable certificate of completion that posts directly to your LinkedIn profile, plus exercise files and transcripts
  • Access is bundled into a single subscription (or the free 1-month trial), so one fee unlocks his entire real TensorFlow series and thousands of other courses

Cons

  • The exact course in this listing cannot be found: the official URL returns a 404 and the title does not appear in LinkedIn Learning's current TensorFlow catalog
  • Listed metadata is unreliable - a 4.4 rating from 4,200 reviews is not corroborated by any primary source, and LinkedIn Learning does not publish per-course numeric ratings, so the figures are likely fabricated or imported in error
  • Jonathan Fernandes's real TensorFlow content is split into three short ~40-minute courses rather than one 3-hour 'essentials' course, so the advertised scope and 3-hour duration do not match what is actually purchasable
  • Content is locked behind a paid subscription, with no permanent free tier once the trial ends

Alternatives To Consider

TensorFlow Developer Professional Certificate

Coursera

View course

Practical Deep Learning for Coders

fast.ai

View course

PyTorch for Deep Learning & Machine Learning

Udemy

View course

Frequently Asked Questions

Is TensorFlow: Essential Training free?

TensorFlow: Essential Training is $29.99/mo. LinkedIn Learning is subscription-only: about $39.99/month billed monthly, or $239.88/year (~$19.99/month) billed annually, after a 1-month free trial (cancel before renewal to avoid charges). It is also included free with LinkedIn Premium Career and higher tiers. The catalog's '$29.99/mo' is outdated - the current individual monthly price is $39.99. A certificate of completion is included.

Who is TensorFlow: Essential Training for?

If a course matching this description did exist, it would suit absolute beginners who already know basic Python and want a fast, video-based first pass at building and training neural networks with TensorFlow 2 / Keras. In practice, because the listing is unverifiable, it is currently for no one as written; the nearest real fit is a learner who specifically wants Jonathan Fernandes's teaching and is comfortable with his actual short TensorFlow modules or his intermediate Neural Networks and CNNs Essential Training (which mixes Keras and PyTorch).

What will you learn in TensorFlow: Essential Training?

Nothing can be confirmed for the listed 'TensorFlow: Essential Training' itself, because that course does not exist on LinkedIn Learning (the URL 404s). The grounded outcomes below belong to the closest real Jonathan Fernandes course, 'Neural Networks and Convolutional Neural Networks Essential Training' (1h 53m, intermediate, verified syllabus), and apply only if you take that course instead; Build and train a feed-forward neural network in Keras on the FashionMNIST dataset, then test it - covering data analysis, defining the network, and parameter calculation (real syllabus: 'Neural Network Building Blocks' and 'Training a Neural Network' sections); Understand the core mechanics of neural nets: neurons/artificial neurons, gradient descent, activation functions, backpropagation, loss functions, and optimizers, illustrated with the XOR problem and an interactive network visualization; Implement convolutional neural networks (CNNs) in PyTorch - including zero padding and pooling - and train/evaluate them on the CIFAR-10 image dataset.

What are the prerequisites for TensorFlow: Essential Training?

Working knowledge of Python (writing functions, using libraries like NumPy/pandas); Comfort running code in Jupyter notebooks or Google Colab; Basic familiarity with introductory machine learning / AI concepts is helpful; An active LinkedIn Learning subscription or free trial (this is paid, subscription-only content).

Is TensorFlow: Essential Training worth it?

The course as listed cannot be verified: its LinkedIn Learning URL 404s, no archived version exists, and the title appears nowhere in LinkedIn Learning's current TensorFlow catalog or on Class Central. The advertised specs (TensorFlow 2 + Keras, text classification, model saving, 3 hours, beginner, 4.4 from 4,200 reviews) also do not match Jonathan Fernandes's actual TensorFlow courses, which are three separate ~40-minute modules, not one 3-hour essentials course. With a dead link and unverifiable metadata, learners should pick a confirmed, currently-published alternative rather than rely on this entry.

How we reviewed this course

This is an independent editorial assessment by Cursarium, based on LinkedIn Learning's published course materials and aggregated public learner feedback (last reviewed 2026-06). We have not independently completed the course. Links to providers are standard references, not paid placements.

Sources

$29.99/mo
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