Best Artificial Intelligence Courses to Learn in April 2025
Looking to enhance your skills? We’ve curated a list of the top-rated artificial intelligence courses available this month. These courses are highly rated by students and offer comprehensive learning experiences.
10. Mastering Artificial Intelligence (AI) with Python and R
Instructor: EDUCBA Bridging the Gap
Unlock the power of Artificial Intelligence and Machine Learning with Python and R in our comprehensive training
Course Highlights:
- Rating: 4.64 ⭐ (18 reviews)
- Students Enrolled: 2137
- Course Length: 176600 hours
- Number of Lectures: 357
- Number of Quizzes: 0
Mastering Artificial Intelligence (AI) with Python and R, has an average rating of 4.64, with 357 lectures, based on 18 reviews, and has 2137 subscribers.
You will learn about Foundational Skills: Master Python and R programming for AI and ML applications. Data Handling: Efficiently manage and manipulate data using libraries like NumPy and pandas. Visualization: Create insightful visualizations with Matplotlib and Seaborn. Machine Learning: Implement algorithms for classification, regression, clustering, and more. Advanced Techniques: Dive into neural networks, natural language processing, and predictive analytics. Real-world Applications: Apply skills to solve practical problems like predictive analysis and market basket analysis. Tools Mastery: Gain proficiency in tools like Anaconda, Jupyter Notebook, and RStudio for seamless development. This course is ideal for individuals who are Beginners in Programming: Those who want to learn artificial intelligence and machine learning starting from the basics. or Students and Professionals: Individuals pursuing careers or studies in data science, artificial intelligence, or related fields. or Enthusiasts: Anyone curious about the applications and concepts of AI and ML, looking to build foundational knowledge. or Programmers Switching Careers: Developers transitioning into AI and ML roles who need to solidify their understanding and skills. or Anyone Interested: Individuals keen on understanding the fundamentals and practical applications of artificial intelligence and machine learning using Python and R. It is particularly useful for Beginners in Programming: Those who want to learn artificial intelligence and machine learning starting from the basics. or Students and Professionals: Individuals pursuing careers or studies in data science, artificial intelligence, or related fields. or Enthusiasts: Anyone curious about the applications and concepts of AI and ML, looking to build foundational knowledge. or Programmers Switching Careers: Developers transitioning into AI and ML roles who need to solidify their understanding and skills. or Anyone Interested: Individuals keen on understanding the fundamentals and practical applications of artificial intelligence and machine learning using Python and R.
Learn More About Mastering Artificial Intelligence (AI) with Python and R
What You Will Learn
- Foundational Skills: Master Python and R programming for AI and ML applications.
- Data Handling: Efficiently manage and manipulate data using libraries like NumPy and pandas.
- Visualization: Create insightful visualizations with Matplotlib and Seaborn.
- Machine Learning: Implement algorithms for classification, regression, clustering, and more.
- Advanced Techniques: Dive into neural networks, natural language processing, and predictive analytics.
- Real-world Applications: Apply skills to solve practical problems like predictive analysis and market basket analysis.
- Tools Mastery: Gain proficiency in tools like Anaconda, Jupyter Notebook, and RStudio for seamless development.
9. Python and Machine Learning for Complete Beginners
Instructor: John Purcell
Become Part of the Artificial Intelligence Revolution
Course Highlights:
- Rating: 4.57 ⭐ (384 reviews)
- Students Enrolled: 2188
- Course Length: 156590 hours
- Number of Lectures: 467
- Number of Quizzes: 0
Python and Machine Learning for Complete Beginners, has an average rating of 4.57, with 467 lectures, based on 384 reviews, and has 2188 subscribers.
You will learn about Learn how to program in Python Discover machine learning Use artificial intelligence in your programs Learn how to analyse data and make predictions This course is ideal for individuals who are Complete beginners with computer programming or Existing programmers who want to improve their Python knowledge or learn Python or Python programmers who want to learn how to use AI/ML in their programs. It is particularly useful for Complete beginners with computer programming or Existing programmers who want to improve their Python knowledge or learn Python or Python programmers who want to learn how to use AI/ML in their programs.
Learn More About Python and Machine Learning for Complete Beginners
What You Will Learn
- Learn how to program in Python
- Discover machine learning
- Use artificial intelligence in your programs
- Learn how to analyse data and make predictions
8. Data Science & AI Masters 2025 – From Python To Gen AI
Instructor: Satyajit Pattnaik
Master Data Science and AI: Learn Python, EDA, Stats, SQL, Machine Learning, NLP, Deep Learning and Gen AI
Course Highlights:
- Rating: 4.67 ⭐ (140 reviews)
- Students Enrolled: 4473
- Course Length: 306742 hours
- Number of Lectures: 463
- Number of Quizzes: 0
Data Science & AI Masters 2025 – From Python To Gen AI, has an average rating of 4.67, with 463 lectures, based on 140 reviews, and has 4473 subscribers.
You will learn about Build a solid foundation in Python programming to effectively implement AI concepts and applications. Learn how Machine Learning & Deep Learning works Learn how transformer models revolutionize NLP tasks, and how to leverage them for various applications. Gain hands-on experience with Retrieval-Augmented Generation (RAG) and Langchain for building advanced AI applications. Learn how to utilize vector databases for efficient storage and retrieval of embeddings in AI projects. Understand the complete pipeline of Natural Language Processing, from data preprocessing to model deployment. Explore the essentials of Large Language Models (LLMs) and their applications in generative tasks. Develop skills in crafting effective prompts to optimize model performance and achieve desired outputs. This course is ideal for individuals who are Complete beginners willing to jump into the field of Data Science, AI & Gen AI or Experienced Professionals willing to switch to Data Science, AI & Gen AI It is particularly useful for Complete beginners willing to jump into the field of Data Science, AI & Gen AI or Experienced Professionals willing to switch to Data Science, AI & Gen AI.
Learn More About Data Science & AI Masters 2025 – From Python To Gen AI
What You Will Learn
- Build a solid foundation in Python programming to effectively implement AI concepts and applications.
- Learn how Machine Learning & Deep Learning works
- Learn how transformer models revolutionize NLP tasks, and how to leverage them for various applications.
- Gain hands-on experience with Retrieval-Augmented Generation (RAG) and Langchain for building advanced AI applications.
- Learn how to utilize vector databases for efficient storage and retrieval of embeddings in AI projects.
- Understand the complete pipeline of Natural Language Processing, from data preprocessing to model deployment.
- Explore the essentials of Large Language Models (LLMs) and their applications in generative tasks.
- Develop skills in crafting effective prompts to optimize model performance and achieve desired outputs.
7. Generative AI for Beginners
Instructor: Aakriti E-Learning Academy
Generative AI Made Easy: Start Your Generative AI Journey, Learn ChatGPT, LLM, Prompt engineering, Create GenAI Chatbot
Course Highlights:
- Rating: 4.57 ⭐ (34855 reviews)
- Students Enrolled: 129004
- Course Length: 12578 hours
- Number of Lectures: 28
- Number of Quizzes: 4
Generative AI for Beginners, has an average rating of 4.57, with 28 lectures, 4 quizzes, based on 34855 reviews, and has 129004 subscribers.
You will learn about Detailed Understanding of Generative AI Key Concepts – LLM, Embeddings, Prompt Engineering, Fine Tuning Industry use cases and ideas that can be implemented Hands-on experience, creating a chatbot Future trends and how to stay relevant in post-GenAI world Roadmap for continous learning This course is ideal for individuals who are Anyone interested by the buzz around Generative AI or Aspiring AI/Generative AI Enthusiasts or Business Professionals and Leaders or Career Seekers in Tech or Innovative Problem Solvers or Data Scientists/Data Engineers It is particularly useful for Anyone interested by the buzz around Generative AI or Aspiring AI/Generative AI Enthusiasts or Business Professionals and Leaders or Career Seekers in Tech or Innovative Problem Solvers or Data Scientists/Data Engineers.
Learn More About Generative AI for Beginners
What You Will Learn
- Detailed Understanding of Generative AI
- Key Concepts – LLM, Embeddings, Prompt Engineering, Fine Tuning
- Industry use cases and ideas that can be implemented
- Hands-on experience, creating a chatbot
- Future trends and how to stay relevant in post-GenAI world
- Roadmap for continous learning
6. [NEW] Ultimate AWS Certified AI Practitioner AIF-C01
Instructor: Stephane Maarek | AWS Certified Cloud Practitioner,Solutions Architect,Developer
Practice Exam included + explanations | Learn Artificial Intelligence | Pass the AWS AI Practitioner AIF-C01 exam!
Course Highlights:
- Rating: 4.75 ⭐ (14620 reviews)
- Students Enrolled: 85571
- Course Length: 36585 hours
- Number of Lectures: 153
- Number of Quizzes: 10
![[NEW] Ultimate AWS Certified AI Practitioner AIF-C01](https://img-c.udemycdn.com/course/480x270/6082775_2db5_3.jpg)
[NEW] Ultimate AWS Certified AI Practitioner AIF-C01, has an average rating of 4.75, with 153 lectures, 10 quizzes, based on 14620 reviews, and has 85571 subscribers.
You will learn about Pass the AWS Certified AI Practitioner Certification AIF-C01 Practice Exam with Explanations included! Learn the Fundamentals of Artificial Intelligence, Machine Learning, Deep Learning & Generative AI Learn the key AWS AI services, including a deep dive on Bedrock, Amazon Q and SageMaker Learn Prompt Engineering All 200+ slides available as downloadable PDF This course is ideal for individuals who are Anyone wanting to acquire the knowledge to pass the AWS Certified AI Practitioner Certification or Having an IT background will strongly help It is particularly useful for Anyone wanting to acquire the knowledge to pass the AWS Certified AI Practitioner Certification or Having an IT background will strongly help.
Learn More About [NEW] Ultimate AWS Certified AI Practitioner AIF-C01
What You Will Learn
- Pass the AWS Certified AI Practitioner Certification AIF-C01
- Practice Exam with Explanations included!
- Learn the Fundamentals of Artificial Intelligence, Machine Learning, Deep Learning & Generative AI
- Learn the key AWS AI services, including a deep dive on Bedrock, Amazon Q and SageMaker
- Learn Prompt Engineering
- All 200+ slides available as downloadable PDF
5. The Complete Artificial Intelligence and ChatGPT Course
Instructor: Chris Haroun | 1.5 Million Students | #1 Best Selling Business & Finance Prof.
Includes ChatGPT Alternatives from Google & Bing Chat, Machine Learning, Images with DALL-E & Midjourney, Voice & More
Course Highlights:
- Rating: 4.57 ⭐ (4681 reviews)
- Students Enrolled: 39263
- Course Length: 43164 hours
- Number of Lectures: 147
- Number of Quizzes: 3
The Complete Artificial Intelligence and ChatGPT Course, has an average rating of 4.57, with 147 lectures, 3 quizzes, based on 4681 reviews, and has 39263 subscribers.
You will learn about Learn how to use ChatGPT from scratch, including more than 1,000 prompts we designed Learn how to use ChatGPT's new Plugins feature so you can accomplish much more with ChatGPT Learn how to use ChatGPT alternatives like Microsoft Bing Chat and Google Bard Free 357 page book version of the course included Learn how to create incredible images using AI products DALL-E and Midjourney Learn how to use many additional AI products, including voice based, avatars, music video AI and much more Learn how to use Microsoft Excel to do Machine Learning, which is a component of AI Gain a comprehensive understanding of Artificial Intelligence (AI) technology and its applications in business in all industries Understand the potential benefits and limitations of AI implementation Develop the ability to identify opportunities for AI implementation in your own organization Understand the ethical considerations of AI and how to address them Understand the potential risks and challenges associated with AI implementation Learn how to manage AI projects and teams Understand the future potential of AI and its impact on business This course is ideal for individuals who are This course is designed to help students learn all about AI from scratch, so you can take your business or career to the next level, by leveraging the power of AI! At the end of this course, you will have a comprehensive understanding of Artificial Intelligence (AI) technology and how it can be leveraged to achieve business goals in all industries. or You will learn about the many applications of AI in the business world and how to identify potential opportunities for implementation in your own organization or to enhance your career. It is particularly useful for This course is designed to help students learn all about AI from scratch, so you can take your business or career to the next level, by leveraging the power of AI! At the end of this course, you will have a comprehensive understanding of Artificial Intelligence (AI) technology and how it can be leveraged to achieve business goals in all industries. or You will learn about the many applications of AI in the business world and how to identify potential opportunities for implementation in your own organization or to enhance your career.
Learn More About The Complete Artificial Intelligence and ChatGPT Course
What You Will Learn
- Learn how to use ChatGPT from scratch, including more than 1,000 prompts we designed
- Learn how to use ChatGPT's new Plugins feature so you can accomplish much more with ChatGPT
- Learn how to use ChatGPT alternatives like Microsoft Bing Chat and Google Bard
- Free 357 page book version of the course included
- Learn how to create incredible images using AI products DALL-E and Midjourney
- Learn how to use many additional AI products, including voice based, avatars, music video AI and much more
- Learn how to use Microsoft Excel to do Machine Learning, which is a component of AI
- Gain a comprehensive understanding of Artificial Intelligence (AI) technology and its applications in business in all industries
- Understand the potential benefits and limitations of AI implementation
- Develop the ability to identify opportunities for AI implementation in your own organization
- Understand the ethical considerations of AI and how to address them
- Understand the potential risks and challenges associated with AI implementation
- Learn how to manage AI projects and teams
- Understand the future potential of AI and its impact on business
4. Intro to AI: A Beginner’s Guide to Artificial Intelligence
Instructor: 365 Careers
Understand How AI Works and How to Leverage This Technology to Transform Your Business and Career
Course Highlights:
- Rating: 4.53 ⭐ (1663 reviews)
- Students Enrolled: 5991
- Course Length: 9016 hours
- Number of Lectures: 42
- Number of Quizzes: 4
Intro to AI: A Beginner's Guide to Artificial Intelligence, has an average rating of 4.53, with 42 lectures, 4 quizzes, based on 1663 reviews, and has 5991 subscribers.
You will learn about Understand key Artificial Intelligence concepts and build a solid foundation Skyrocket productivity using AI Understand Generative AI and the underlying technology Grasp the importance of AI ethics Acquire an understanding of key AI tools Become acquainted with the top job prospects in the AI field This course is ideal for individuals who are This course is for you if you want a great career or The course is also ideal for beginners, as it starts from the fundamentals and gradually builds up your skills It is particularly useful for This course is for you if you want a great career or The course is also ideal for beginners, as it starts from the fundamentals and gradually builds up your skills.
Learn More About Intro to AI: A Beginner's Guide to Artificial Intelligence
What You Will Learn
- Understand key Artificial Intelligence concepts and build a solid foundation
- Skyrocket productivity using AI
- Understand Generative AI and the underlying technology
- Grasp the importance of AI ethics
- Acquire an understanding of key AI tools
- Become acquainted with the top job prospects in the AI field
3. AI Mastery: 150+ Projects, AI Algorithms, DeepSeek AI Agents
Instructor: Vivian Aranha
AI Engineering Bootcamp – AI Algorithms, AI Models like DeepSeek R1 AI, AI Agents, Python to Real-World AI Projects
Course Highlights:
- Rating: 4.57 ⭐ (206 reviews)
- Students Enrolled: 12733
- Course Length: 219341 hours
- Number of Lectures: 321
- Number of Quizzes: 1
AI Mastery: 150+ Projects, AI Algorithms, DeepSeek AI Agents, has an average rating of 4.57, with 321 lectures, 1 quizzes, based on 206 reviews, and has 12733 subscribers.
You will learn about Master Python for Artificial Intelligence: Write efficient Python code, essential for AI and ML programming tasks. Data Preprocessing Skills for Artificial Intelligence: Prepare, clean, and transform data to enhance model performance. Statistical Knowledge for Artificial Intelligence: Apply core statistics to understand data patterns and inform decisions. Build Machine Learning Models for Artificial Intelligence: Develop and fine-tune ML models for classification, regression, and clustering. Deep Learning Proficiency: Design and train neural networks, including CNNs and RNNs, for image and sequence tasks. Utilize Transfer Learning: Adapt pre-trained models to new tasks, saving time and resources. Deploy ML Models with APIs: Create scalable APIs to serve ML models in real-world applications. Containerize with Docker: Package models for portable deployment across environments. Monitor and Maintain Models: Track model performance, detect drift, and implement retraining pipelines. Complete ML Lifecycle: Master end-to-end AI project skills, from data to deployment and ongoing maintenance. This course is ideal for individuals who are Aspiring AI Engineers: Those looking to build a career in AI and gain hands-on, production-ready skills. or Data Scientists and Analysts: Professionals who want to expand their expertise to include machine learning, deep learning, and model deployment. or Software Engineers: Developers interested in applying programming skills to AI and machine learning projects. or Career Changers: Individuals from non-technical backgrounds with foundational Python knowledge, eager to transition into AI. or Graduate Students: Students in data science, computer science, or related fields wanting a practical, job-ready experience in AI engineering. or Tech Entrepreneurs: Founders and CTOs interested in understanding AI for building AI-driven products or managing AI teams. It is particularly useful for Aspiring AI Engineers: Those looking to build a career in AI and gain hands-on, production-ready skills. or Data Scientists and Analysts: Professionals who want to expand their expertise to include machine learning, deep learning, and model deployment. or Software Engineers: Developers interested in applying programming skills to AI and machine learning projects. or Career Changers: Individuals from non-technical backgrounds with foundational Python knowledge, eager to transition into AI. or Graduate Students: Students in data science, computer science, or related fields wanting a practical, job-ready experience in AI engineering. or Tech Entrepreneurs: Founders and CTOs interested in understanding AI for building AI-driven products or managing AI teams.
Learn More About AI Mastery: 150+ Projects, AI Algorithms, DeepSeek AI Agents
What You Will Learn
- Master Python for Artificial Intelligence: Write efficient Python code, essential for AI and ML programming tasks.
- Data Preprocessing Skills for Artificial Intelligence: Prepare, clean, and transform data to enhance model performance.
- Statistical Knowledge for Artificial Intelligence: Apply core statistics to understand data patterns and inform decisions.
- Build Machine Learning Models for Artificial Intelligence: Develop and fine-tune ML models for classification, regression, and clustering.
- Deep Learning Proficiency: Design and train neural networks, including CNNs and RNNs, for image and sequence tasks.
- Utilize Transfer Learning: Adapt pre-trained models to new tasks, saving time and resources.
- Deploy ML Models with APIs: Create scalable APIs to serve ML models in real-world applications.
- Containerize with Docker: Package models for portable deployment across environments.
- Monitor and Maintain Models: Track model performance, detect drift, and implement retraining pipelines.
- Complete ML Lifecycle: Master end-to-end AI project skills, from data to deployment and ongoing maintenance.
2. The AI Engineer Course 2025: Complete AI Engineer Bootcamp
Instructor: 365 Careers
Complete AI Engineer Training: Python, NLP, Transformers, LLMs, LangChain, Hugging Face, APIs
Course Highlights:
- Rating: 4.61 ⭐ (2696 reviews)
- Students Enrolled: 23122
- Course Length: 87282 hours
- Number of Lectures: 367
- Number of Quizzes: 123
The AI Engineer Course 2025: Complete AI Engineer Bootcamp, has an average rating of 4.61, with 367 lectures, 123 quizzes, based on 2696 reviews, and has 23122 subscribers.
You will learn about The course provides the entire toolbox you need to become an AI Engineer Understand key Artificial Intelligence concepts and build a solid foundation Start coding in Python and learn how to use it for NLP and AI Impress interviewers by showing an understanding of the AI field Apply your skills to real-life business cases Harness the power of Large Language Models Leverage LangChain for seamless development of AI-driven applications by chaining interoperable components Become familiar with Hugging Face and the AI tools it offers Use APIs and connect to powerful foundation models Utilize Transformers for advanced speech-to-text This course is ideal for individuals who are You should take this course if you want to become an AI Engineer or if you want to learn about the field or This course is for you if you want a great career or The course is also ideal for beginners, as it starts from the fundamentals and gradually builds up your skills It is particularly useful for You should take this course if you want to become an AI Engineer or if you want to learn about the field or This course is for you if you want a great career or The course is also ideal for beginners, as it starts from the fundamentals and gradually builds up your skills.
Learn More About The AI Engineer Course 2025: Complete AI Engineer Bootcamp
What You Will Learn
- The course provides the entire toolbox you need to become an AI Engineer
- Understand key Artificial Intelligence concepts and build a solid foundation
- Start coding in Python and learn how to use it for NLP and AI
- Impress interviewers by showing an understanding of the AI field
- Apply your skills to real-life business cases
- Harness the power of Large Language Models
- Leverage LangChain for seamless development of AI-driven applications by chaining interoperable components
- Become familiar with Hugging Face and the AI tools it offers
- Use APIs and connect to powerful foundation models
- Utilize Transformers for advanced speech-to-text
1. Complete A.I. & Machine Learning, Data Science Bootcamp
Instructor: Andrei Neagoie
Learn Data Science, Data Analysis, Machine Learning (Artificial Intelligence) and Python with Tensorflow, Pandas & more!
Course Highlights:
- Rating: 4.61 ⭐ (26262 reviews)
- Students Enrolled: 142270
- Course Length: 156166 hours
- Number of Lectures: 384
- Number of Quizzes: 2
Complete A.I. & Machine Learning, Data Science Bootcamp, has an average rating of 4.61, with 384 lectures, 2 quizzes, based on 26262 reviews, and has 142270 subscribers.
You will learn about Become a Data Scientist and get hired Master Machine Learning and use it on the job Deep Learning, Transfer Learning and Neural Networks using the latest Tensorflow 2.0 Use modern tools that big tech companies like Google, Apple, Amazon and Meta use Present Data Science projects to management and stakeholders Learn which Machine Learning model to choose for each type of problem Real life case studies and projects to understand how things are done in the real world Learn best practices when it comes to Data Science Workflow Implement Machine Learning algorithms Learn how to program in Python using the latest Python 3 How to improve your Machine Learning Models Learn to pre process data, clean data, and analyze large data. Build a portfolio of work to have on your resume Developer Environment setup for Data Science and Machine Learning Supervised and Unsupervised Learning Machine Learning on Time Series data Explore large datasets using data visualization tools like Matplotlib and Seaborn Explore large datasets and wrangle data using Pandas Learn NumPy and how it is used in Machine Learning A portfolio of Data Science and Machine Learning projects to apply for jobs in the industry with all code and notebooks provided Learn to use the popular library Scikit-learn in your projects Learn about Data Engineering and how tools like Hadoop, Spark and Kafka are used in the industry Learn to perform Classification and Regression modelling Learn how to apply Transfer Learning This course is ideal for individuals who are Anyone with zero experience (or beginner/junior) who wants to learn Machine Learning, Data Science and Python or You are a programmer that wants to extend their skills into Data Science and Machine Learning to make yourself more valuable or Anyone who wants to learn these topics from industry experts that don’t only teach, but have actually worked in the field or You’re looking for one single course to teach you about Machine learning and Data Science and get you caught up to speed with the industry or You want to learn the fundamentals and be able to truly understand the topics instead of just watching somebody code on your screen for hours without really “getting it” or You want to learn to use Deep learning and Neural Networks with your projects or You want to add value to your own business or company you work for, by using powerful Machine Learning tools. It is particularly useful for Anyone with zero experience (or beginner/junior) who wants to learn Machine Learning, Data Science and Python or You are a programmer that wants to extend their skills into Data Science and Machine Learning to make yourself more valuable or Anyone who wants to learn these topics from industry experts that don’t only teach, but have actually worked in the field or You’re looking for one single course to teach you about Machine learning and Data Science and get you caught up to speed with the industry or You want to learn the fundamentals and be able to truly understand the topics instead of just watching somebody code on your screen for hours without really “getting it” or You want to learn to use Deep learning and Neural Networks with your projects or You want to add value to your own business or company you work for, by using powerful Machine Learning tools.
Learn More About Complete A.I. & Machine Learning, Data Science Bootcamp
What You Will Learn
- Become a Data Scientist and get hired
- Master Machine Learning and use it on the job
- Deep Learning, Transfer Learning and Neural Networks using the latest Tensorflow 2.0
- Use modern tools that big tech companies like Google, Apple, Amazon and Meta use
- Present Data Science projects to management and stakeholders
- Learn which Machine Learning model to choose for each type of problem
- Real life case studies and projects to understand how things are done in the real world
- Learn best practices when it comes to Data Science Workflow
- Implement Machine Learning algorithms
- Learn how to program in Python using the latest Python 3
- How to improve your Machine Learning Models
- Learn to pre process data, clean data, and analyze large data.
- Build a portfolio of work to have on your resume
- Developer Environment setup for Data Science and Machine Learning
- Supervised and Unsupervised Learning
- Machine Learning on Time Series data
- Explore large datasets using data visualization tools like Matplotlib and Seaborn
- Explore large datasets and wrangle data using Pandas
- Learn NumPy and how it is used in Machine Learning
- A portfolio of Data Science and Machine Learning projects to apply for jobs in the industry with all code and notebooks provided
- Learn to use the popular library Scikit-learn in your projects
- Learn about Data Engineering and how tools like Hadoop, Spark and Kafka are used in the industry
- Learn to perform Classification and Regression modelling
- Learn how to apply Transfer Learning
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