Meet Ravi Singh, author of this article, who is recognized as a Principal AI Scientist. He has a specialization in the world of AI for more than 15 years, with hands-on work experience in the field of Artificial Intelligence, Machine Learning, and Deep Learning technologies. The innovative business solution developed successfully by him tackled most of the challenging problems in the landscape of Artificial Intelligence. The knowledge that will be shared by him and insights with multiple Data Science and AI communities help others learn and grow. Ravi Singh, as the author of this article, has thoughtfully analyzed various AI programs and focuses on beginner-friendly courses that guide newcomers with clarity and help them build confidence.
Updated on September 23 2025
Top 10 Best
ML Courses
In 2025
Are you looking to advance your skills in Machine Learning (ML)?
Your journey starts here, guided by us! Logicmojo is the one platform with endless opportunities,
giving you a clear path to achieve growth in the field of
Artificial Intelligence and Machine learning.
Know about the most useful Top 10 beginner-friendly ML courses for 2025 to
kickstart your Data Scientist career. These courses are
designed by experts, packed with real-world projects, and prepare you for a job-ready role in top tech companies. Begin your path to mastering ML with this first step!
This guide is designed to give you clarity. Here’s a quick overview of what you'll find and why it matters for your career in 2025.
🧭
We Cut Through the Noise
With countless Machine Learning courses available, choosing the right one is tough. This expert-curated guide simplifies that decision for you.
🏆
Our Top Pick for Beginners
For a complete, job-focused start, our #1 recommendation is the Logicmojo AI & ML Course. It provides a clear path from Python fundamentals to advanced Generative AI projects.
👨💻
For Every Career Path
Whether you're a student, a working professional aiming to upskill, or making a career switch, our detailed comparisons cover every learning style and goal.
💼
Ultimate Goal: Get You Hired
Our analysis focuses on job-readiness. We even provide resources like the most common Machine Learning interview questions to ensure you're prepared.
Logicmojo AI & ML Course is top of our list as the best course for beginners in AI. It is a very beginner-friendly course for learning AI from scratch. No prior coding experience is required to join this course. Classes start from the very basics and gradually move to an advanced level with project development on GenAI.
Is this course the right starting point for you? This AI course is carefully designed for beginners who want to step into AI without prior technical knowledge. The course will provide a clear and structured path, starting from the very basics and advanced concepts with hands-on projects. This course is an excellent choice for business leaders and decision makers who want to understand how AI can create value in their organization. The course explains AI with simple, real-world examples so you can clearly see how it drives business growth and innovation. Finally, if you are simply curious to know about the real-world AI uses, this course gives you a strong foundation, without deep coding expertise. Guided by experts and packed with real-world lessons, this course helps you learn AI in a way that is clear, practical, and trusted.
Are you an ML engineer or developer? This program is designed specially for ML engineers and developers who are ready to build and launch game-changing Generative AI applications with the usage of large language models. Although sorry for the absolute beginners! This course is for the ideal Data scientists who wants hand-on experience in fine tuning and customizing the LLMs model. Solution Architects and the Product Managers who are ready to bring AI-driven features into a real products using AWS services. With a detailed step-by-step guidance, real projects, and trusted industry tools, this course helps you turn your ideas into real AI solutions. By the end, you are not just be learning you will be ready to create, lead, and shape the future with AI.
Ready to go from beginner to AI expert in 4 months? This is the perfect course for Undergraduates and beginners who are planning to step into the world of AI. Starting right from the basics, you will be taught Python, NumPy, Pandas, Matplotlib, Linear Algebra, and neural networks with PyTorch where all have been explained in a clear and practical way. This course was focused and completely designed for those who are new to AI but have a strong passion to build both strong coding skills and a solid foundation in math and machine learning. Just over the span of 4months, you will see yourself from a beginner to advanced AI expert, diving into exciting topics like Deep Learning and Natural Langugae Processing (NLP). With expert guidance and hands-on learning, this course will ensure you that you just do not study AI but you gain the skills and confidence to Innovate, solve real problems, and shape your future in AI World.
Looking to master advanced AI practices? AI Engineering Certificate, is a course which is designed for experienced software engineers, and data scientists who want to deepen their AI engineering skills and master the industry leading practices. You will gain hand-on experience with the usage of advanced AI engineering practices, who will be taught from experts, and work on real-world projects. By the end of the course, you will not only enhance your skills and also you will be ready to lead advanced AI projects.
Thinking career switch? Think AI. PGP in Artificial intelligence is a program which is ideal for Mid-career professionals and those who are looking to switch careers and seeking a comprehensive Post Graduate Program (PGP) in Artificial Intelligence. The course is designed to provide in-depth knowledge, hands-on experience, and industry relevant skills that make you job-ready which is rapidly evolving in the world of AI.
Want to master algorithms to MLOps? This program is a perfect option for aspiring AI & ML engineers who want a structured, project driven curriculum that covers everything from a core algorithm to model deployment, and MLOps. With this real-world projects and practical learning, you will be able to gain the skills and confindence to tackle complex AI challenges.
Developer looking to dive into ML on AWS? Fundamentals of Machine Learning and AI, is a ideal for cloud practitioners and developers who want to understand the fundamentals of AWS AI and ML services. This course will make you to gain the skills to confidently work with the AI tools in the cloud which makes you to build, deploy, and innovate AI solutions that make an Impact in your career.
Ready to master ML fundamentals? The Fundamentals of MAchine Learning and AI is the perfect program for aspiring AL practitioners who want to build a strong foundation in core AI and ML principles by using curriculum carefully curated by Google. With hands-on exercises and practical examples, you will gain the skills needed to understand and apply machine learning effectively. By the end of the program, you will be able to learn concepts to tackle real-world AI challenges and shape the future of technology.
Looking to transition into an AI product role? The AI product Manager Nanodegree course is specially designed for Product avengers who want to transition into AI-focused roles and will make you a master to face unique challenges of AI product development. In this course you will learn how to design, manage, and deliver AI-powered products effectively.
We believe that every learner deserves courses that truly work in the real world. That is the reason why we follow a detailed 6-step evaluation process to make sure that you will receive the highest quality of AI education. At Logicmojo, every course in Artificial Intelligence is carefully reviewed by industry leaders, practicing AI professionals, and even complete beginners to make sure it is easy to learn, practical to apply, and powerful enough to accelerate your AI career.
Expert Verified
Beginner Tested
Continuously Updated
Our 3-Step Review Process
1
Discovery & Screening
At LogicMojo, we review, identify, and search the latest handpicked AI courses from the top education platform, mainly focusing on beginner-friendly content, easy to follow, and highly relevant to real-world industry needs. By reviewing each course in detail, we make sure that you will get the best learning experience that will help you build practical skills and confidence to succeed.
2
Expert Analysis
At LogicMojo, every course is reviewed by experienced AI experts with professional experience and educators. We review how accurate the content is, how easy it is to understand, and how well you can apply what you learn in real life. This expert analysis process makes sure that you gain the practical skills with confidence.
3
Beginner Testing
At Logicmojo, we have developed a unique way to review the courses. To make sure our courses are truly beginner-friendly, we have a complete newcomer's test for each program in order to check for accessibility, clarity, and real learning outcomes without the need for any prior experience. This way, we will ensure that every learner, no matter where they start, can easily follow along and succeed.
Our 6 Evaluation Criteria
In our 6 evaluation Criteria, we go through a careful review across key areas from content quality to teaching style and learning effectiveness. This evaluation process will ensure that what you learn is not only accurate but also easy to understand by building a strong foundation to grow your career in AI.
Beginner Accessibility
We carefully test how well complete beginners will be able to understand the basics of AI concepts, machine learning fundamentals, and neural networks. LogicMojo courses have been designed so that you do not need any prior coding or advanced mathematical knowledge. Everything explained here is clear, practical, and beginner-friendly from the very beginning.
Zero PrerequisitesClear Explanations
Hands-On Projects
Your Portfolio starts here! Every course recommended at LogicMojo comes with Hands-On AI Projects, Coding Exercises, and real-world applications. These are not just for your practice; we evaluate and test these projects with expert input. By completing these hands-on projects, you can proudly add them to your professional portfolio, which builds expertise and confidence along with the skills you acquire.
5+ ProjectsPortfolio Ready
Content Depth & Structure
At LogicMojo, we always evaluate the Content of the courses, which should be well-organized and easy to follow for beginners. We follow a step-by-step knowledge path in covering the AI topics, which includes neural networks, deep learning, computer vision, natural language processing, and AI ethics. All these courses have been well structured in a clear and logical order, which helps you to build knowledge.
8 Core TopicsProgressive Learning
Instructor Expertise
We strictly evaluate and select the Instructors to teach the course for you. LogicMojo picks AI experts who are recognized researchers, Industry professionals, and experienced educators with a strong history of proven track records and success. Because of this, you can feel confident about the quality of your learning journey.
PhD/Industry LeaderTeaching Experience
Community & Support
We evaluate how strong our community and support system really are. This will be done by looking at the active learning communities, how responsive instructors are, the quality of the peer collaboration, and the active participation in the Q&A resources. By this evaluation, we ensure that every course truly supports the learners and no student feels left behind.
24h ResponseActive Community
Career Impact & Outcomes
LogicMojo, just do not look at what a course provides; we evaluate the outcomes and success stories of the verified student. From success stories and career transition to job placements, salary growth, and long-term return on investment. Every student's numbers, and every story will reflect your career impact and outcome, where your learning should build the future that you truly deserve.
85% Success RateCareer Tracking
Our Evaluation by the Numbers
Comprehensive data from our rigorous course evaluation process
750+Courses Reviewed
50+Hours Per Course
25+Expert Reviewers
98%Student Satisfaction
Our Ranking System is Trusted By
Featured in leading publications and referenced by universities.
Filter the course based on your requirements
10 courses found
Find Your Perfect AI Course Match For Beginner
Not sure where to start? Our smart quiz looks at your background, goals, budget, and schedule to guide you toward the best AI courses for your situation which truly fits your journey. Takes less than 60 second!
Why You Must Learn AI in 2025
AI revolution is not coming, it's here in 2025. AI is transforming every industry at lightning speed. Those candidates who take action today will lead the AI revolution in the future! Invest in yourself this year and start your AI journey in 2025, opening the doors to the most powerful career opportunities in a fast-changing world.
📈
The AI Job Market Is Exploding
AI is the future in the fastest-growing career path of 2025. Due to increasing AI-related jobs, the demand for skilled AI Engineers is also increasing. This creates a golden opportunity for the professionals who are eagerly waiting to step into the AI World. By learning an AI course now, you not only position yourself for high salaries but also will be able to secure long-term career growth. Start building your expertise today, because those who act now will lead the AI-driven world of tomorrow.
⭐
Future-Proof Your Career
We all know that learning AI skills is no longer optional because it is a fact that AI is transforming every industry, which is making it essential. A wide range, starting from finance and healthcare to marketing and beyond, every industry is also adopting AI to drive growth and innovation. By learning AI skills, you become a valuable, future-ready professional. Do not be slow; invest in AI skills today, and be a game-changer where every team needs you tomorrow.
💡
Solve Meaningful Problems
In 2025, it is a world where technology plays a major role in tackling some of the biggest challenges in the world. Starting from technology used in medical research to finding solutions for climate change, and even transforming how we learn, which innovates in shaping our future. Let us start your journey now and bring positive change across the globe.
💻
What's the Best Programming Language for AI?
Spoiler: It's Python 🐍
Why Python Dominates AI Development and Projects
🚀
Beginner-Friendly
Are you in search of a language that is easy to learn? Then Python is all set for you! Python is the most popular language in the AI world, which is very simple, readable, and absolutely beginner-friendly. What makes Python unique is its clear Syntax that makes it very easy for any beginner to understand coding and work on real projects quickly. Python will always allow you not only to focus on learning the AI concepts but also to understand the complex coding rules.
🏢
Industry Standard and Widely Trusted
Most of the top companies like Google, Meta, Netflix, and OpenAI choose the Python language because it is versatile, reliable, and easy to use. The clear syntax and readability of the Python language make it accessible for beginners, which plays a major role in most of the large-scale and real-world projects.
📚
Powerful Libraries
The access to Python is just like a door that opens to a set of powerful libraries that make coding, working with data, and building projects in easier way and faster as well. Focusing on tools like TensorFlow, PyTorch, and scikit-learn, they are widely trusted by most working professionals worldwide in order to create efficient, real-world solutions.
🔬
Research & Prototyping
Jupyter Notebooks is a module of Python that gives you an easy and very interactive way to test many ideas, and also helps to run experiments by improving your projects in a detailed step-by-step process. This is perfect for quick learners, fast prototyping, and those who want to turn complex concepts into working solutions. By using this Jupyter Notebook, the focus on creativity and innovation will help you build real results.
🚀 Your Learning Roadmap:
Begin with Python fundamentals and build a strong foundation. Later, you can learn how to handle data with two of the most trusted tools in the tech world: NumPy and Pandas. In a span of a few weeks, you will build your confidence to tackle your first machine learning models.
🧮
Prerequisites: Do You Need to Be a Math Genius?
💻
Coding Skills
Beginner
Zero Knowledge in Coding? Do not worry! Python is one of the easiest languages to start with. This is a coding language that is simple and clear, which makes it a perfect choice for beginners. You can build your coding skills step by step as you learn and gain confidence working on real examples and projects.
Intermediate
Are you already familiar with the basics like variables, loops, and functions? Great! You are now ready for the next big step! With the knowledge of basics, you can confidently build real models, do experiments with the data, and you can see how your code will come to life.
🧮
Math Skills
Essential (But Don't Worry!)
You do not need to be a math genius to get started. Yes, you heard it right! Just a basic high school level algebra and a little more about the basic statistics are more than enough to begin your journey. And the best part? Most of the complex math is already taken care by powerful libraries, so you can focus on understanding the concepts and applying them.
Helpful for Deeper Roles
If you are aiming for roles that are truly challenging, advanced, or research-type, having a strong knowledge of linear algebra, calculus, and probability is a big advantage. Knowing about these subjects and mastering these skills will later open doors for the more impactful roles where you can innovate and lead.
Key Concepts: AI vs Ml vs DL
Know the Basics First. Understanding the differences between AI, Machine Learning, and Deep Learning should be your first big step. Once you become familiar with these ideas, you will feel confident in choosing the right path that best fits your goals, and you will achieve success!
Artificial Intelligence (AI)
Do you know? The Power of AI is the science of creating smart machines. AI is like a whole universe of intelligent systems, ranging from fun game-playing bots to life-changing self-driving cars.
Machine Learning (ML)
What if computers can learn on their own, just by looking at data? That is exactly what Machine Learning does! Instead of giving instructions to the systems, machine learning will help to find patterns, get better with experience, and even they can make smart predictions.
Deep Learning (DL)
Have you ever wondered how machines recognize faces in photos or understand human language? That is the magic of Deep learning! Deep learning is a branch of Machine Learning that uses multi-layered neural networks, which have been inspired by the human brain, in order to tackle complex tasks, including image recognition and speech understanding.
Best AI Courses for Beginners – Detailed Curriculum
Use our interactive explorer to discover the
Top 10 Best AI Courses for Beginners in 2025. Get insights into course content, placement support, success stories, and compare your favorites — all in one place
ACCELERATED LEARNING PATH
AI Roadmap for Beginners in 7 Months
From Python basics to production-ready AI systems. A structured,
hands-on journey designed by industry experts.
Your Learning Timeline
Each module builds on the previous one, creating a comprehensive
foundation for AI mastery.
This helps us gauge the right starting point for you.
🚀
Complete Beginner
No programming or DS experience
💻
Some Programming
Basic Python but new to Data Science
🛠️
Experienced Developer
Strong programming, some DS exposure
What's your primary career goal?
This helps us find a course aligned with your ambitions.
🔄
Career Transition
Switch to Data Science from another field
📈
Skill Enhancement
Add DS skills to your current role
👔
Business Leadership
Lead data-driven decisions in your company
What's your budget range?
We have courses for every investment level.
❤️
Low Budget
Under ₹80,000
💰
Moderate Budget
₹80,000 - ₹2,00,000
💎
Premium Investment
Above ₹2,00,000
How much time can you dedicate weekly?
This helps us match you with a program that fits your schedule.
🕰️
Part-time Learner
2-5 hours/week
🗓️
Weekend Warrior
5-10 hours/week (weekends)
🔥
Full Commitment
20+ hours/week
🏆
Your Personalized Recommendations
Based on your answers, here are the best courses for you:
About the Author
Ravi Singh
I am a Data Science and AI expert with over 15 years of experience in the IT industry. I’ve worked with leading tech giants like Amazon and WalmartLabs as an AI Architect, driving innovation through machine learning, deep learning, and large-scale AI solutions. Passionate about combining technical depth with clear communication, I currently channel my expertise into writing impactful technical content that bridges the gap between cutting-edge AI and real-world applications.
Get answers to the most common questions about AI courses, career transitions, and the learning path from our team of experts.
Which AI course is best for a complete beginner?
Beginner2 min read
Quick Answer
For complete beginners, we recommend three standout options based on different learning preferences and budgets.
🏆
Best Overall for Beginners
LogicMojo's Advanced Data Science & AI
Structured weekend classes perfect for Beginners.
Dual Purdue + IBM certification for strong credibility.
Beginner-friendly curriculum that builds from the ground up.
💰
Best Budget Option
AI for Everyone (Coursera)
Highly affordable monthly subscription model.
Self-paced learning, ideal for students.
Industry-recognized Coursara certification.
How long does it take to become job-ready in AI?
All Levels1 min read
The time to get job-ready depends on your background and the program's intensity. Here's a general guideline for Bangalore's tech market:
For Beginners (No Tech Background)
3-6 months of dedicated learning in a structured bootcamp is typically required to be ready for entry-level Data Analyst or Junior AI Engineer roles.
For Professionals (With Tech Background)
6-8 months in an advanced program is ideal to target mid-level to senior AI/ML Engineer roles, as this allows for a deeper dive into specialized topics and portfolio building.
What salary can I expect after completing a course?
All Levels4 min read
Salaries are competitive and depend on your skills and prior experience. Here are some typical ranges:
Entry-Level (0-2 years exp)
After a foundational course, expect ₹6 LPA to ₹12 LPA at service-based companies and startups.
Mid-Senior Level (3+ years exp)
After an advanced or specialization course, salaries often range from ₹18 LPA to ₹35 LPA+ at top product-based companies.
Do I need a powerful computer for these AI courses?
Tech Specs2 min read
While a high-end gaming PC isn't necessary, a decent modern laptop is recommended. Most of the heavy computation is handled via cloud platforms like Google Colab.
Minimum Recommendations
Processor: Intel i5 (8th Gen or newer) or AMD Ryzen 5
RAM: 8GB (16GB is highly recommended)
Storage: 256GB SSD
Which programming language is commonly used in AI?
Languages3 min read
The most important labguages need to know as AI specialist are listed.
Python: The Language of AI:
Python : is the most popular language for AI due to its easy syntax and powerful libraries
Tensorflow: TensorFlow is a software library for machine learning and artificial intelligence.
Pytorch: pytorch and tensorflow are librairies that let you write differentiable algeabra in python.
Scikit-learn:scikit-learn (formerly scikits.learn and also known as sklearn) is a free and open-source machine learning library for the Python programming language.
🎓
Which AI course is best for absolute beginners?
Beginner Friendly3 min read
For those with no programming or AI background, we recommend these top-rated courses:
1 Logicmojo AI & ML Course
Designed from the ground up for beginners, with live classes and strong mentorship. Tags: Live Classes, 1:1 Mentorship, Job Support
2 Coursera’s "AI for Everyone"
A non-technical course perfect for understanding AI concepts without coding. Tags: No Coding, Andrew Ng, 4 Weeks
3 Google AI Essentials
A short, practical course on how to use AI tools effectively in your work. Tags: Google Certified, Practical, Quick Start
💡
These courses start with the basics and don’t assume prior technical knowledge.
🧮
Do I need to be a math expert to learn AI?
Math Requirements3 min read
Quick Answer: No, you don't need to be a math expert!
Basic Level: High school algebra and stats (2-4 weeks prep)
Intermediate Level: Linear algebra, probability (1-2 months prep)
Advanced (Optional): Required only for AI research (6+ months)
📚 Most of the math is handled by tools like:
TensorFlow – Neural Networks
PyTorch – Deep Learning
Scikit-learn – Machine Learning
NumPy – Mathematical Computing
🧠
What is the difference between AI, Machine Learning, and Deep Learning?
Core Concepts3 min read
Think of them as nested concepts:
AI: Any system mimicking human intelligence
Machine Learning: A subset of AI that learns from data
Deep Learning: A specialized form of ML using neural networks
Example:
AI: Chess playing program
ML: Spam filter that learns patterns
DL: Voice assistants like Siri
💰
What salary can I expect after completing an AI course?
Career Growth3 min read
Salaries vary based on your role, experience, and geography. Here's a typical progression:
Fresher / AI Trainee: ₹5–9L (0–1 year)
ML Engineer: ₹10–20L (1–3 years)
Senior AI Scientist: ₹25–45L (3–5 years)
AI Architect / Lead: ₹45L – ₹1Cr+ (5+ years)
📈
Career changers often see a salary hike of 150–300% after transitioning into AI roles.
Quora
Reddit
Trustpilot
Medium
switchup
Youtube
Shiksha
GitHub
Linkedin
Glassdoor
Course Report
