10 Must-Know Advanced Machine Learning Courses in 2024: A Comprehensive Guide

1. Rating- 4.7/5
2. Time to Complete- 5 months

Welcome to Udacity's Machine Learning Nanodegree Program!

• If you've experimented in Kaggle competitions or have some experience with machine learning algorithms, then this program is perfect for you. Even if you've only built a few machine learning models, you'll find this Nanodegree to be a great fit for your skills.

What Makes This Program Special?

• The best part about the Udacity Machine Learning Nanodegree is its focus on deploying to AWS. With 4 courses and 5 projects, the program is designed to be project-based. After completing a set of courses, you'll work on a project that you'll need to submit.

What You'll Learn

• The program emphasizes the latest best practices and capabilities enabled by Amazon SageMaker. You'll explore new model design and deployment features, along with case studies where they can be applied.

Projects You'll Work On

1. Predict Bike Sharing Demand with AutoGluon
2. Build an ML Workflow on SageMaker
3. Image Classification using AWS SageMaker
4. Operationalizing an AWS ML Project
5. Capstone Project- Inventory Monitoring at Distribution Centers

Extra Benefits

• When you enroll, you'll have the opportunity to work on real-world projects alongside industry experts. You'll also receive project feedback from experienced reviewers and technical mentor support.

Who Should Enroll?

• If you have a basic understanding of machine learning algorithms and Python programming knowledge, this Nanodegree is perfect for you.

Ready to Enroll?

• If you're interested in enrolling, check out the details here: AWS Machine Learning Engineer

1. Rating- 4.5/5
2. Time to Complete- 10 months (If you spend 6 hours per week)

Are you ready to take your Machine Learning skills to the next level? If you're eager to go beyond the basics and delve into the advanced aspects of Machine Learning, then this Advanced Machine Learning Specialization is tailor-made for you. 

What Makes This Specialization Unique?

• This program is designed to bridge the gaps in your Machine Learning knowledge, empowering you to tackle complex industry challenges with confidence. While it's an advanced series of courses, it's also an opportunity for you to enhance your mathematical prowess.

Who is This Program For?

• If you're already a part of the industry and are seeking to sharpen your Machine Learning skills, then this program is the perfect fit for you. It's tailored to elevate your expertise and equip you for greater success in the field.

What Can You Expect?

• Throughout this Specialization program, you'll engage in hands-on projects that will not only enrich your learning experience but also help you craft a robust portfolio showcasing your newfound skills.

Course Overview

1. This comprehensive program comprises 7 courses, including:
2. Introduction to Deep Learning
3. How to Win a Data Science Competition: Learn from Top Kagglers
4. Bayesian Methods for Machine Learning
5. Practical Reinforcement Learning
6. Deep Learning in Computer Vision
7. Natural Language Processing
8. Addressing Large Hadron Collider Challenges by Machine Learning

Extra Benefits

• Enrolling in this program comes with additional perks, such as:
• A Shareable Certificate upon completion
• Opportunities to work on real-world problems like image captioning and automatic game playing
• Access to guidance from top Kaggle machine learning practitioners and CERN scientists

Who Should Enroll?

• This program is suitable for individuals with intermediate-level knowledge in Machine Learning or those already entrenched in the industry looking to refine their Machine Learning skills.

Ready to Enroll?

• If you're eager to embark on this exciting learning journey, check out the details of the Advanced Machine Learning Specialization and take the next step towards unleashing your full Machine Learning potential!

1. Rating- 4.7/5
2. Time to Complete- 3 Months (If you spend 10 hours per week)

Dive into Machine Learning with Udacity!

Are you looking to boost your skills and learn about Machine Learning? This program from Udacity is just the thing for you! You'll get to build and use advanced Machine Learning solutions with popular tools like scikit-learn.

What's in it for You?

• Hands-on Experience: You'll work with Azure Machine Learning to understand and control ML models at scale.
• Exciting Courses: You'll learn about Optimizing ML Pipelines, Operationalizing ML, and Training and Deploying ML Models in Azure.

What's Included?

Courses:

1. Using Azure Machine Learning
2. Machine Learning Operations

Extra Benefits:

• Real-world projects to work on
• Support from technical mentors
• Resume services, Github review, LinkedIn profile review

Who's It For?

• If you already have some experience with Python and Machine Learning, this program is perfect for you!

Ready to Get Started?

• If this sounds interesting to you, check it out here – Become a Machine Learning Engineer for Microsoft Azure.

1. Rating- 4.6/5
2. Provider-Jose Portilla (Udemy)
3. Time to Complete- 25 hours

Python for Data Science and Machine Learning Bootcamp 

If you're keen on learning about Machine Learning and Data Analysis, this course from Udemy is a fantastic choice for you. Here's a sneak peek at what you'll be diving into:

What You'll Learn

1. Programming with Python
2. NumPy with Python
3. Using pandas Data Frames for solving complex tasks
4. Handling Excel Files with pandas
5. Web scraping with Python
6. Connecting Python to SQL
7. Visualizing data with matplotlib, seaborn, and plotly
8. Machine Learning with SciKit Learn, covering topics like Linear Regression, K Nearest Neighbors, Decision Trees, and more
9. Natural Language Processing
10. Neural Nets and Deep Learning
11. Support Vector Machines and much more

Extra 

• When you complete the course, you'll receive a Certificate of Completion and gain access to 13 articles and 5 downloadable resources. Plus, you'll have lifetime access to the course material.

Who Should Join?

• This course is suitable for those with some programming experience who are eager to delve into the world of data science and machine learning.

Interested in Joining?

• If you're keen to enroll, you can find all the details here: Python for Data Science and Machine Learning Bootcamp

1. Rating- 4.7/5
2. Time to Complete- 7 months (If you spend 3 hours/week)

This is the specialization program offered by Coursera. In this specialization program, you will learn major areas of Machine Learning such as Prediction, Classification, Clustering, and Information Retrieval. 

Throughout this program, you will get hands-on experience with machine learning from a series of practical case studies.

In the first case study, you will predict house prices using regression. In the second case study, you will analyze sentiment & loan default prediction using classification. The last and third case study is all about Finding Similar Documents.

So in a nutshell, this is the perfect program for you if you are looking for more practical-based learning.

There are 4 courses in this specialization program. Now let’s see the details of the courses-

Courses Details-

1. Machine Learning Foundations: A Case Study Approach
2. Machine Learning: Regression
3. Machine Learning: Classification
4. Machine Learning: Clustering & Retrieval

Extra Benefits-

• You will get a Shareable Certificate and Course Certificates upon completion.
• Along with that, you will get Course Videos & Readings, Practice Quizzes, Graded Assignments with Peer Feedback, Graded Quizzes with Feedback, Graded Programming Assignments.

Who Should Enroll?

• Those who have some previous knowledge in Python and basic math.

Interested to Enroll?

• If yes, then check out the details here-Machine Learning Specialization

1. Rating- 4.6/5
2. Time to Complete- 4 months( If you spend 3 hours/week)

This is the other Best Advanced Machine Learning Course where you will learn how to apply machine learning to data analysis and automation. This specialization program will teach you how to prepare data for effective machine learning applications.

You will also learn how to implement supervised learning techniques on real case studies to analyze business case scenarios where decision trees, k-nearest neighbors, and support vector machines are optimally used.

There are 4 courses in this specialization program. Now let’s see the details of the courses-

Courses List-

1. Introduction to Applied Machine Learning
2. Machine Learning Algorithms: Supervised Learning Tip to Tail
3. Data for Machine Learning
4. Optimizing Machine Learning Performance

Extra Benefits-

• You will get a Shareable Certificate and Course Certificates upon completion.
• Along with that, you will get Course Videos & Readings, Practice Quizzes, Graded Assignments with Peer Feedback, Graded Quizzes with Feedback, Graded Programming Assignments.

Who Should Enroll?

• Those who have previous understanding of analytics, math (linear algebra, matrix multiplication), statistics and beginner level python programming

Interested to Enroll?

• If yes, then check out all details here- Machine Learning: Algorithms in the Real World Specialization

1. Rating- 4.6/5
2. Time to Complete- 6 Months (If you spend 10 hrs/week)

This is another Nano-Degree Program for those who want to implement AI in the Stock market. In this program, you will learn the basics of quantitative analysis, including data processing, trading signal generation, and portfolio management. 

After enrolling in this Nano-Degree Program, you will use Python to work with historical stock data, develop trading strategies, and construct a multi-factor model with optimization.

There are 8 courses in this Nano Degree Program. Let’s see the details of the courses-

Courses List-

1. Basic Quantitative Trading
2. Advanced Quantitative Trading
3. Stocks, Indices, and ETFs
4. Factor Investing and Alpha Research
5. Sentiment Analysis with Natural Language Processing
6. Advanced Natural Language Processing with Deep Learning
7. Combining Multiple Signals
8. Simulating Trades with Historical Data

Extra Benefits-

• You will get a chance to work on Real-world projects.
• You will get Technical mentor support.
• Along with that, you will get Resume services, Github review, LinkedIn profile review.

Who Should Enroll?

• Those who have some experience in programming with Python, and be familiar with statistics, linear algebra, and calculus.

Interested to Enroll?

• If yes, then check out all details here- Artificial Intelligence for Trading

1. Provider- ITMO University
2. Time to Complete- 5 weeks (If you spend 2-4 hours per week)

This is an advanced machine learning course offered by edX. In this course, you will learn advanced concepts of machine learning such as factor analysis, multiclass logistic regression, resampling and decision trees, support vector machines, and reinforced machine learning.

This course considered various examples and software applications. Now let’s see the syllabus of the course-

Course Syllabus-

1. Factor analysis
2. Multiclass logistic regression
3. Resampling and decision trees
4. Support vector machines
5. Reinforced machine learning

Who Should Enroll?

• Those who have basic knowledge of calculus, statistics, and linear algebra.

Interested to Enroll?

• If yes, then check out the program details here- Advanced Machine Learning

1. Rating- 4.5/5
2. Time to Complete- 3 months (5 hours/week)

This specialization program is an advanced-level program focused on advanced machine learning topics using Google Cloud Platform. This specialization program teaches you how to build scalable, accurate, and production-ready models for structured data, image data, time-series, and natural language text.

This specialization is a 5- Course series. Let’s see the details of the courses-

Courses List-

1. End-to-End Machine Learning with TensorFlow on GCP
2. Production Machine Learning Systems
3. Image Understanding with TensorFlow on GCP
4. Sequence Models for Time Series and Natural Language Processing
5. Recommendation Systems with TensorFlow on GCP

Extra Benefits-

• You will get a Shareable Certificate and Course Certificates upon completion.
• Along with that, you will get Course Videos & Readings, Practice Quizzes, Graded Assignments with Peer Feedback, Graded Quizzes with Feedback, Graded Programming Assignments.

Who Should Enroll?

• Those who have basic Knowledge of machine learning and TensorFlow, experience in Python, and knowledge of basic statistics.

Interested to Enroll?

• If yes, then check out all details here-Advanced Machine Learning with TensorFlow on Google Cloud Platform Specialization

1. Rating- 4.6/5
2. Time to Complete- 14.5 hours

This is a Python-oriented course for machine learning. This course has hands-on Python code examples which you can use for reference and practice.

In this course, you will learn Deep Learning / Neural Networks (MLP’s, CNN’s, RNN’s) with TensorFlow and Keras, Sentiment analysis, Regression analysis, Reinforcement Learning, Feature Engineering, Hyperparameter Tuning, and much more.

After completing this course, there is one final project, which you need to complete.

Extra Benefits-

• You will get a Certificate of Completion.
• You will also get 6 articles and 1 downloadable resource.
• Along with that, you will get lifetime access to the course material.

Who Should Enroll?

• Those who know at least high school level math and some prior coding experience.

Interested to Enroll?

• If yes, then check out the details here- Machine Learning, Data Science, and Deep Learning with Python