Best Artificial Intelligence Courses to Learn in February 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. Python and Machine Learning for Complete Beginners
Instructor: John Purcell
Become Part of the Artificial Intelligence Revolution
Course Highlights:
- Rating: 4.63 ⭐ (343 reviews)
- Students Enrolled: 2042
- Course Length: 156590 hours
- Number of Lectures: 467
- Number of Quizzes: 0
Python and Machine Learning for Complete Beginners, has an average rating of 4.63, with 467 lectures, based on 343 reviews, and has 2042 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
9. 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: 4.77 ⭐ (14 reviews)
- Students Enrolled: 2103
- 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 4.77, with 357 lectures, based on 14 reviews, and has 2103 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.
8. The Complete Artificial Intelligence (AI) for Professionals
Instructor: Debayan Dey
Learn Google Gemini, ChatGPT SORA along with 100+ AI tools and use them to Master Business, Ethics and Innovation!
Course Highlights:
- Rating: 4.69 ⭐ (1519 reviews)
- Students Enrolled: 24515
- Course Length: 41266 hours
- Number of Lectures: 241
- Number of Quizzes: 15
The Complete Artificial Intelligence (AI) for Professionals, has an average rating of 4.69, with 241 lectures, 15 quizzes, based on 1519 reviews, and has 24515 subscribers.
You will learn about Comprehensive Understanding of AI Learn 100+ AI tools Real-World Application of AI Ethical Considerations AI Tools and Resources AI Myths and Realities AI's Impact on Business Growth Selecting and Implementing AI Tools Measuring AI Performance and ROI Language Processing Techniques AI in Decision-Making AI's Role in Task Automation Enhancing Customer Experiences Prompting Engineering and Language Generation Chained Prompting AI in Academic Research AI in Creative Fields Current AI Tools and Trends ChatGPT Google Bard Gemini OpenAI SORA This course is ideal for individuals who are Beginners/Intermediate/Experts in AI or Individuals Seeking Personal Growth Through AI or Small Business Owners and Entrepreneurs or Corporate Professionals or Students and Researchers Exploring AI in Academia or Creative Professionals Harnessing AI's Creative Potential or Business Leaders and Decision Makers Embracing AI Strategy or Tech Enthusiasts and Curious Minds or Ethical Consideration Advocates or Lifelong Learners Embracing AI as a Lifelong Skill or Business Owners and Entrepreneurs Eager to Leverage AI or Intermediate Professionals in AI or Professionals Keen on Navigating AI Trends or Aspiring Computer Scientists or IT Professionals Exploring AI It is particularly useful for Beginners/Intermediate/Experts in AI or Individuals Seeking Personal Growth Through AI or Small Business Owners and Entrepreneurs or Corporate Professionals or Students and Researchers Exploring AI in Academia or Creative Professionals Harnessing AI's Creative Potential or Business Leaders and Decision Makers Embracing AI Strategy or Tech Enthusiasts and Curious Minds or Ethical Consideration Advocates or Lifelong Learners Embracing AI as a Lifelong Skill or Business Owners and Entrepreneurs Eager to Leverage AI or Intermediate Professionals in AI or Professionals Keen on Navigating AI Trends or Aspiring Computer Scientists or IT Professionals Exploring AI.
Learn More About The Complete Artificial Intelligence (AI) for Professionals
What You Will Learn
- Comprehensive Understanding of AI
- Learn 100+ AI tools
- Real-World Application of AI
- Ethical Considerations
- AI Tools and Resources
- AI Myths and Realities
- AI's Impact on Business Growth
- Selecting and Implementing AI Tools
- Measuring AI Performance and ROI
- Language Processing Techniques
- AI in Decision-Making
- AI's Role in Task Automation
- Enhancing Customer Experiences
- Prompting Engineering and Language Generation
- Chained Prompting
- AI in Academic Research
- AI in Creative Fields
- Current AI Tools and Trends
- ChatGPT
- Google Bard
- Gemini
- OpenAI SORA
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: 4.55 ⭐ (26941 reviews)
- Students Enrolled: 104772
- Course Length: 12578 hours
- Number of Lectures: 28
- Number of Quizzes: 4
Generative AI for Beginners, has an average rating of 4.55, with 28 lectures, 4 quizzes, based on 26941 reviews, and has 104772 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. 2025 Bootcamp: Generative AI, LLM Apps, AI Agents, Cursor AI
Instructor: Julio Colomer
From zero to professional level: learn the keys to Generative AI, LLM Apps, AI Agents, and Cursor AI.
Course Highlights:
- Rating: 4.53 ⭐ (1810 reviews)
- Students Enrolled: 18461
- Course Length: 270513 hours
- Number of Lectures: 664
- Number of Quizzes: 0
2025 Bootcamp: Generative AI, LLM Apps, AI Agents, Cursor AI, has an average rating of 4.53, with 664 lectures, based on 1810 reviews, and has 18461 subscribers.
You will learn about Keys to AI, Generative AI, LLM Apps, and new AI Coding Assistants like Cursor AI. LLM Apps with LangChain, CrewAI, LangGraph, LangServe and LangSmith. How to build apps without coding using Cursor AI and AI Coding Assistants. How to build the new Multimodal and Multi-Agent LLM Applications. Opportunities and threats of AI for businesses, startups, and jobs. RAG Applications in Depth: Full Stack RAG Apps and Advanced Techniques. How to manage LLMOps: Observability, Evaluation, Testing, Etc. Professional opportunities opened by Artificial Intelligence. Steps to become an Artificial Intelligence Engineer. How to introduce Artificial Intelligence into your business. Keys to LLM Applications, the highest potential applications of Generative AI. Architecture of professional LLM Applications. The RAG Technique (Retrieval Augmented Generation). Artificial Intelligence Agents. Basic and advanced LangChain, LangChain LCEL, and LangChain v010. LangSmith, LangServe, LangChain Templates. LCEL (LangChain Expression Language) in depth. Basic and advanced LlamaIndex. LlamaIndex Templates. ChatGPT, OpenAI, OpenAI functions, and the OpenAI API. Large Language Models (LLM): ChatGPT, Llama2, Mistral, Falcon, etc. Vector databases: Postgres, Pinecone, Chroma, FAISS, DeepLake, etc. Full-Stack Applications: Nextjs and FastAPI. Professional deployment: Vercel and Render. Provisional deployment: Streamlit. Cloud hosting: AWS S3. How to apply the principles of Responsible AI. Daily tools of the AI Engineer: Jupyter Notebooks, Python, Terminal, Github, Codespaces, etc. This course is ideal for individuals who are Students and professionals with and without previous experience. or Students without prior knowledge interested in taking advantage of the professional opportunities opened by the field of Artificial Intelligence. or Executives interested in introducing Artificial Intelligence into their company. or Machine Learning, Deep Learning, and Data Science professionals interested in expanding their professional opportunities in the area of Generative AI and LLM Applications. or Software application developers interested in expanding their professional opportunities by learning to develop Generative Artificial Intelligence and LLM Applications. It is particularly useful for Students and professionals with and without previous experience. or Students without prior knowledge interested in taking advantage of the professional opportunities opened by the field of Artificial Intelligence. or Executives interested in introducing Artificial Intelligence into their company. or Machine Learning, Deep Learning, and Data Science professionals interested in expanding their professional opportunities in the area of Generative AI and LLM Applications. or Software application developers interested in expanding their professional opportunities by learning to develop Generative Artificial Intelligence and LLM Applications.
Learn More About 2025 Bootcamp: Generative AI, LLM Apps, AI Agents, Cursor AI
What You Will Learn
- Keys to AI, Generative AI, LLM Apps, and new AI Coding Assistants like Cursor AI.
- LLM Apps with LangChain, CrewAI, LangGraph, LangServe and LangSmith.
- How to build apps without coding using Cursor AI and AI Coding Assistants.
- How to build the new Multimodal and Multi-Agent LLM Applications.
- Opportunities and threats of AI for businesses, startups, and jobs.
- RAG Applications in Depth: Full Stack RAG Apps and Advanced Techniques.
- How to manage LLMOps: Observability, Evaluation, Testing, Etc.
- Professional opportunities opened by Artificial Intelligence.
- Steps to become an Artificial Intelligence Engineer.
- How to introduce Artificial Intelligence into your business.
- Keys to LLM Applications, the highest potential applications of Generative AI.
- Architecture of professional LLM Applications.
- The RAG Technique (Retrieval Augmented Generation).
- Artificial Intelligence Agents.
- Basic and advanced LangChain, LangChain LCEL, and LangChain v010. LangSmith, LangServe, LangChain Templates.
- LCEL (LangChain Expression Language) in depth.
- Basic and advanced LlamaIndex. LlamaIndex Templates.
- ChatGPT, OpenAI, OpenAI functions, and the OpenAI API.
- Large Language Models (LLM): ChatGPT, Llama2, Mistral, Falcon, etc.
- Vector databases: Postgres, Pinecone, Chroma, FAISS, DeepLake, etc.
- Full-Stack Applications: Nextjs and FastAPI.
- Professional deployment: Vercel and Render.
- Provisional deployment: Streamlit.
- Cloud hosting: AWS S3.
- How to apply the principles of Responsible AI.
- Daily tools of the AI Engineer: Jupyter Notebooks, Python, Terminal, Github, Codespaces, etc.
5. [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: 4.76 ⭐ (10890 reviews)
- Students Enrolled: 66371
- Course Length: 36677 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 4.76, with 153 lectures, 10 quizzes, based on 10890 reviews, and has 66371 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
4. 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: 4.59 ⭐ (1437 reviews)
- Students Enrolled: 13779
- 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 4.59, with 367 lectures, 123 quizzes, based on 1437 reviews, and has 13779 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
3. 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: 4.54 ⭐ (4227 reviews)
- Students Enrolled: 35488
- Course Length: 43164 hours
- Number of Lectures: 147
- Number of Quizzes: 3
The Complete Artificial Intelligence and ChatGPT Course, has an average rating of 4.54, with 147 lectures, 3 quizzes, based on 4227 reviews, and has 35488 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
2. 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: 4.58 ⭐ (25474 reviews)
- Students Enrolled: 138099
- Course Length: 155778 hours
- Number of Lectures: 384
- Number of Quizzes: 2
Complete A.I. & Machine Learning, Data Science Bootcamp, has an average rating of 4.58, with 384 lectures, 2 quizzes, based on 25474 reviews, and has 138099 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
1. Artificial Intelligence Mastery: Complete AI Bootcamp 2025
Instructor: Vivian Aranha
Everything you need for Artificial Intelligence (AI) Engineering – from Algorithms, Python to Real-World AI Projects
Course Highlights:
- Rating: 4.58 ⭐ (67 reviews)
- Students Enrolled: 6931
- Course Length: 195350 hours
- Number of Lectures: 284
- Number of Quizzes: 1
Artificial Intelligence Mastery: Complete AI Bootcamp 2025, has an average rating of 4.58, with 284 lectures, 1 quizzes, based on 67 reviews, and has 6931 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 Artificial Intelligence Mastery: Complete AI Bootcamp 2025
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.
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