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$29.99
- Udemy
- Lazy Programmer Team Inc.
- Online Course
- Self-paced
- Advanced
- 1-4 Weeks
- Paid Course (Paid certificate)
- English
- Artificial intelligence Data Science with 'Python' Deep learning TensorFlow
The score is based on the learner ratings/experience, at Udemy.
PROS:
- Covers a wide-range of advanced reinforcement learning topics.
- Excellent and advanced topics.
- Good details and manual coding.
- Concise details about each algorithms.
CONS:
- Should have more explanation on the theory.
- Need to improve coding lectures.
- Udacity
- Microdegree
- Self-paced
- Beginner
- 1-3 Months
- Paid Course (Paid certificate)
- English
- Python
- Jupyter Notebook
- Basic Computer Literacy Linear Algebra Previous Programming Experience
- Artificial intelligence Calculus Essentials Data Science with 'Python' Deep learning Linear Algebra Essentials Neural Networks Pytorch
The score is based on the user experience, rated by the learners.
PROS:
- Excellent course for learning the fundamentals of AI.
- As compared to other training programs it is clear and meaningful.
- Concise and beginner friendly course material provided.
- Math concepts explanations are awesome.
CONS:
- Lesson on matplotib and seaborn needs more explanation.
- Very lengthy elementary content.
$199.99
- Udemy
- Lazy Programmer Team Inc.
- Online Course
- Self-paced
- Intermediate
- 1-4 Weeks
- Paid Course (Paid certificate)
- English
- Python
- Basic Scripting in Python Fundamentals of calculus Machine Learning Basics Probability Basics
- Artificial intelligence Data Science with 'Python' Feature Engineering Machine learning Reinforcement learning
The score is based on the user experience, rated by the learners
PROS:
- Excellent veteran instructor’s explanation and teaching process.
- All math is thoroughly explained and ambiguities clarified.
- It will absolutely clear your theory and math concept.
CONS:
- Should give focus on more use of animations and visual learning.
- Need improvement in balance between theory of RL and practical’s.
$199.00
- EDX
- Harvard University
- Online Course
- Self-paced
- Intermediate
- 1-3 Months
- Free Course (Affordable Certificate)
- English
- Python
- Google Colab
- Basic Scripting in Python Colab Basics Embedded Systems Basics Fundamentals of TinyML Machine Learning Basics
- Artificial intelligence Data Science Data Science with 'Python' Machine learning TinyML
PROS:
- This course features real-world case studies, guided by industry leaders.
- Detailed elaboration of principles of Visual Wake Words.
- Official and verified, easily shareable course completion certificate available.
CONS:
- Prior knowledge of fundamentals of TinyML course or sufficient relevant experience.
- Not for newbies, basic Scripting in Python and usage of Colab.
$39.00
- Coursera
- IBM
- Microdegree
- Self-paced
- Beginner
- 3+ Months
- Paid Course (Paid certificate)
- English
- Python
- None Pre-requisite
- Artificial intelligence Data Analysis Data Science Data Science with 'Python' Data Visualization Predictive Modelling
The score is based on the quality of the course content & user experience as rated by the learners.
PROS:
- No need for any prior experience.
- Focused on Python fundamentals.
- Hands on experience with practical skills.
CONS:
- Needs to cover some courses in detail for a better understanding
- Needs improvement in instructional videos
- Simplilearn
- IBM
- Masters program
- Instructor-led
- Advanced
- Paid Course (Paid certificate)
- English
- Python R Scala
- Apache Spark
- Basic Maths Basic Scripting in Python Basic Scripting in R Fundamentals of calculus Linear Algebra Probability Basics Statistics Basics
- Artificial intelligence Data Science Data Science with 'Python' Deep learning Keras Machine learning Natural language processing TensorFlow
The score is based on the user experience rated by the learners.
PROS:
- Online self-learning videos & trainers assistance with their enriched knowledge helps you understand the content easily.
- All the courses are well structured with self-learning, live classes, and assessment.
- Excellent industry-related projects and will help you to put into practice what you learned in the class.
CONS:
- Should have basic knowledge of mathematics.
- Need to be familiar with the fundamentals of Python programming.
- Simplilearn
- Online Course
- Self-paced
- Beginner
- Less Than 24 Hours
- Paid Course (Paid certificate)
- English
- Artificial intelligence Deep learning Machine learning
The score is based on the user experience, rated by the learners.
PROS:
- No need to have any programming or IT background.
- Designed in a systematic manner.
- Courses are well structured with self-learning, live classes, and assessments.
CONS:
- Lengthy preliminary content
- It should have detail practical information.
$39.00
- Coursera
- IBM
- Microdegree
- Self-paced
- Beginner
- 3+ Months
- Paid Course (Paid certificate)
- English
- Python R Scala
- Git Jupyter Notebook RStudio Watson Studio
- None Pre-requisite
- Artificial intelligence Data Analysis Data Science Data Science with 'Python' Data Visualization Practical Statistics Probability
The score is based on the quality of the course content & user experience as rated by the learners.
PROS:
- No prior knowledge of programming languages required.
- Very well designed final assignment.
- Good to improve your Python skills.
- Well-structured courses.
CONS:
- Challenging for non-statisticians.
- Project needs some Python coding.
- Needs to update the material since some tools have changed.
- Simplilearn
- Online Course
- Instructor-led Self-paced
- Advanced
- 1-4 Weeks
- Paid Course (Paid certificate)
- English
- Python
- Basic Maths Intermediate Machine Learning Statistics Basics
- Artificial intelligence Deep learning Keras Neural Networks Pytorch TensorFlow
The score is based on the user experience, rated by the learners.
PROS:
- Courses are well structured with self-learning, live classes, and assessments.
- You will find Industry-based course-end project
- Dedicated mentoring session from faculty of industry experts
CONS:
- You should be familiar with programming fundamentals and Statistics Essentials
- Familiarity with concepts about Machine Learning
$199.00
- EDX
- Harvard University
- Online Course
- Self-paced
- Intermediate
- 1-3 Months
- Free Course (Affordable Certificate)
- English
- C/C++
- Applications of TinyML Basic Programming in C/C++ TinyML Course Kit
- Artificial intelligence Data Science Data Science with 'Python' Deep learning Machine learning Microcontrollers TensorFlow TinyML
PROS:
- Gain hands-on experience with embedded systems, machine learning training, and machine learning deployment.
- The course features hands-on projects based on a TinyML Program Kit.
- Kit plays a vital role in this course.
- Also, they have provided a facility to preorder your Arduino kit here.
CONS:
- Need to carry TinyML Course Kit.
- Need more elaboration on some course topics.
$199.00
- EDX
- Harvard University
- Online Course
- Self-paced
- Beginner
- 1-3 Months
- Free Course (Affordable Certificate)
- English
- Python
- Basic Scripting in Python
- Artificial intelligence Data Science Data Science with 'Python' Deep learning Machine learning TinyML
PROS:
- Focused on the basics of ML, DL and embedded devices and systems, such as smartphones and other tiny devices.
- Provides a foundation for you to understand this emerging field.
- Throughout the course, you will learn data science techniques.
$49.00
- Coursera
- IBM
- Professional Certificate
- Self-paced
- Intermediate
- 3+ Months
- Paid Course (Paid certificate)
- English
- Python
- Basic Scripting in Python High School Level Maths
- Apache Spark Training Artificial intelligence Data Engineering Data Science Data Science with 'Python' Deep learning Keras Machine learning Pytorch TensorFlow
The score is based on the quality of the course content & user experience as rated by the learners.
PROS:
- Useful information on an introduction to Deep Learning and Neural Networks with Keras.
- Demonstration of an understanding of supervised deep learning.
- You can apply your AI and Neural Network skills to a real-world challenge also can demonstrate your ability to communicate project outcomes.
CONS:
- Need to improve the content on Scalable Machine Learning and on Big Data using Apache Spark.
- Lengthy elementary content.