Artificial Intelligence and Machine Learning Courses: The Complete 2025 Guide

Artificial Intelligence (AI) and Machine Learning (ML) are no longer futuristic buzzwords  they are shaping today’s world. From chatbots and recommendation engines to self-driving cars and generative AI tools, the impact of AI and ML is everywhere. As industries adopt automation and data-driven technologies, the demand for skilled professionals in these fields is skyrocketing.

If you’re searching for the best courses in artificial intelligence and machine learning, or wondering “how to learn AI from scratch”, this guide is for you. We’ll explore what AI/ML courses cover, why they matter, career opportunities, and where you can start learning  including affordable AI and Machine Learning courses by Code with TLS in Delhi NCR.

If you're eager to learn Artificial Intelligence and Machine Learning from scratch, explore our comprehensive AI & ML course at Code with TLS.

Why Learn AI and Machine Learning in 2025?

AI and ML are at the heart of the fourth industrial revolution. According to reports, the global AI market is projected to grow beyond $1 trillion in the next decade, creating massive career opportunities. Companies need professionals who can design algorithms, analyze data, build models, and deploy AI-powered solutions.

Here’s why learning artificial intelligence and machine learning in 2025 is a smart choice:

• High Salary Packages: AI/ML engineers and data scientists are among the top-paid professionals worldwide.
• Diverse Career Paths: Roles like AI Engineer, ML Specialist, Data Scientist, and Robotics Expert are in demand.
• Future-Proof Skills: AI is here to stay. Learning now ensures you stay ahead in the job market.
• Global Opportunities: AI talent is required across IT, healthcare, finance, e-commerce, and research.

Learn more about AI & ML courses in our FAQs.

Enroll in the AI & ML Certification Course at Code with TLS and learn from industry experts with hands-on projects.

What Are Artificial Intelligence and Machine Learning?

Before we dive into the courses, it’s important to clearly understand the basics of Artificial Intelligence (AI) and Machine Learning (ML). These two terms are often used together, but they are not exactly the same.

• Artificial Intelligence (AI):
  AI refers to the science of building machines and systems that can perform tasks we usually associate with human intelligence  such as learning, reasoning, problem-solving, and decision-making. From Siri and Alexa assisting you with daily tasks, to ChatGPT generating human-like conversations, and even self-driving cars navigating busy streets  all these are prime examples of AI in action.
• Machine Learning (ML):
  Machine Learning is a subset of AI that deals specifically with teaching computers how to learn from data. Instead of being explicitly programmed for every task, ML systems improve their performance as they process more information. For example, Netflix recommending movies you’ll love, or banks detecting fraudulent transactions  both are powered by ML algorithms.

 Together, AI and ML form the backbone of today’s most advanced technologies  including generative AI tools, natural language processing (NLP), image and speech recognition systems, predictive analytics, and even robotics.

For a comprehensive overview of the most sought-after AI and ML roles in India, including job descriptions, required skills, and salary insights, check out our detailed guide on Top AI & ML Jobs in India.

Not Sure Where to Start?
 Book a free consultation with our AI/ML mentors and plan your learning path today.
  Call: 918527866980 |  Email: info@codewithtls.com

Who Can Learn AI and Machine Learning?

A question we often hear is: “Who can learn AI and machine learning?” The simple answer is almost anyone with curiosity and dedication. AI and ML are no longer restricted to tech experts; with the right guidance, anyone can start learning and build a successful career.

Students

Whether you’re pursuing engineering, computer science, mathematics, or even business, AI and ML skills can give you a competitive edge. Early exposure helps you stay ahead in a tech-driven world.

For a detailed breakdown of our AI & ML course modules, including machine learning, deep learning, and NLP, visit our AI & ML Course Syllabus.

Working Professionals

If you’re an IT professional, data analyst, software developer, or digital marketer, learning AI and ML can help you upskill, get promotions, and switch to high-demand roles. It’s never too late to adapt to the future of work.

Beginners

Even if you have no prior coding or tech experience, there are step-by-step learning paths online and offline that make AI and ML approachable. Platforms like Code with TLS provide beginner-friendly courses that guide you from scratch to advanced concepts.

Prerequisites to Learn AI and ML

While AI and ML are accessible, having some foundational skills will make learning smoother:

• Basic Programming Knowledge: Python is highly recommended for beginners.
• Mathematics Understanding: Concepts like linear algebra, probability, and statistics are essential.
• Analytical & Logical Thinking: The ability to analyze data and solve problems systematically is key.

 Fun Fact: You don’t need to be a math genius or coding wizard to start  consistent practice and the right mentorship can take you far in AI and ML.

To delve deeper into the specific skills required for a career in Artificial Intelligence and Machine Learning, check out our detailed guide on Skills Required for AI and Machine Learning.
Want to See What You’ll Learn?

Download the full AI & ML course syllabus and explore 50 modules including Deep Learning, NLP, and Generative AI.

Steps to Learn AI and Machine Learning from Scratch

If you’re wondering, “I want to learn artificial intelligence and machine learning. Where do I begin?”, don’t worry  here’s a step-by-step roadmap to guide you from a beginner to an AI/ML professional:

1. Start with the Basics

Begin by learning Python programming and brushing up on essential math fundamentals like linear algebra, probability, and statistics. These are the building blocks for all AI and ML algorithms.

For a comprehensive list of beginner-friendly AI and ML projects, including spam email classifiers and handwritten digit recognition, check out our detailed guide on AI/ML Project Ideas.

2. Learn Core Machine Learning Concepts

Dive into the heart of ML by understanding:

• Supervised Learning – training models with labeled data
• Unsupervised Learning – finding patterns in unlabeled data
• Reinforcement Learning – teaching models to make decisions through trial and error

Learn AI & ML From Scratch for Free!
 Join our live webinar and get an introduction to AI, Machine Learning, and career opportunities. Reserve your spot now!

3. Explore AI Techniques

Once you’re comfortable with ML, move on to advanced AI topics such as:

• Deep Learning – neural networks and AI modeling
• Natural Language Processing (NLP) – language understanding and chatbots
• Computer Vision – image and video analysis
• Robotics and Automation – integrating AI with hardware

4. Work on Real Projects

Apply your knowledge by building chatbots, recommendation engines, predictive models, or AI-powered apps. Hands-on experience is key to mastering AI and ML.

Check out the Top Machine Learning Libraries for Data Scientists.

5. Get Certified

Enroll in a recognized AI certification course to validate your skills. Certifications not only boost your credibility but also make you stand out to recruiters.

6. Practice Continuously

Stay updated by participating in hackathons, Kaggle competitions, and AI research projects. Continuous practice ensures your skills remain sharp and industry-relevant.

 Pro Tip: You don’t need to learn everything at once. Platforms like Code with TLS offer a structured, step-by-step learning path  taking you from basics to advanced AI and ML, with hands-on projects and expert mentorship.

Check out Top Skills to Become a Machine Learning Engineer.

Best Courses in Artificial Intelligence and Machine Learning

If you’re looking to learn AI and machine learning from scratch or advance your existing skills, there are plenty of options available both online and offline. However, choosing a comprehensive, affordable, and industry-focused course can make all the difference. Here are some of the best options:

1. AI Certification Course – Code with TLS (Affordable & Job-Oriented)

Code with TLS offers one of the best AI and Machine Learning courses in Delhi NCR, designed to help you build real-world skills and accelerate your career. Here’s what makes it stand out:

• 50 In-Depth Modules: Covering Artificial Intelligence, Machine Learning, Deep Learning, and emerging technologies.
• Hands-On Projects: Work with real-world datasets to create chatbots, recommendation engines, predictive models, and more.
• Affordable Fee Structure: High-quality training without burning a hole in your pocket.
• Placement Support: Resume building, interview preparation, and job placement assistance.
• Industry-Recognized Certifications: Boost your credibility with AI and ML certifications that matter.
• Special Generative AI Training: Learn to work with cutting-edge tools like ChatGPT, DALL·E, and other generative AI applications.

Whether you are a student, working professional, or complete beginner, Code with TLS provides a structured learning path from basics to advanced AI, making it easier to achieve your career goals.

 Visit Us: 2/81-82, Ground Floor, Lalita Park, Gali No - 2, Laxmi Nagar, New Delhi - 110092
  Call: 918527866980
  Email: info@codewithtls.com

Get Job-Ready with AI & ML Skills
 Enroll at Code with TLS and gain placement support, resume building, and interview preparation to land your dream AI/ML role.

2. Simplilearn AI ML Course

For those looking for flexible online learning with a globally recognized certification, Simplilearn is an excellent choice. Their AI and Machine Learning courses cover industry-relevant topics, hands-on projects, and provide certifications that are recognized by top companies worldwide. Perfect for working professionals and students looking to upskill from anywhere.

For a comprehensive introduction to implementing machine learning algorithms using Python, check out our detailed guide on Introduction to Machine Learning in Python.

3. Coursera AI & ML Courses

Top universities like Stanford, University of Michigan, and Google AI offer AI/ML training on Coursera. These courses combine academic rigor with practical projects, allowing learners to gain deep theoretical knowledge and hands-on experience. You can also access some courses for free with limited features, making it ideal for beginners.

Check out our Web Development Course in Noida.

4. Generative AI Courses

Generative AI is one of the fastest-growing areas in AI. Courses focused on ChatGPT, DALL·E, and large language models teach you how to create AI-powered content, automate tasks, and innovate in digital applications. These courses are perfect for those who want to stay ahead in the AI revolution.

5. Free AI and Machine Learning Courses

Budget-friendly learners can still gain high-quality AI/ML knowledge through free courses:

• edX: Offers introductory AI and ML courses from top universities.
• Udemy (Free Versions): Learn foundational AI concepts and practical projects.
• YouTube Tutorials: Many experts provide complete step-by-step AI and ML tutorials.
• Where can I learn AI for free? → Try Coursera free trial, Kaggle Learn, or Google’s AI Crash Course to get started without spending a dime.

 Pro Tip: While free courses are great for starting out, enrolling in a structured program like Code with TLS AI Certification Course can accelerate your learning and give you industry-recognized credentials.

For a comprehensive guide on top IT courses available after 12th grade, including B.Tech, BCA, and diploma programs, check out our detailed article on IT Courses in Demand After 12th.

Job Opportunities After AI & ML Courses

Completing a comprehensive AI and Machine Learning course can open doors to a wide range of high-demand and rewarding career paths. Some of the most sought-after roles include:

• AI Engineer: Design intelligent systems and algorithms to solve real-world problems.
• Machine Learning Specialist: Develop models that analyze data, make predictions, and optimize business processes.
• Data Scientist: Extract insights from complex datasets and help organizations make data-driven decisions.
• Deep Learning Engineer: Work with neural networks to build applications like image recognition, NLP models, and generative AI systems.
• Robotics Engineer: Combine AI and automation to create smart robots for industries like healthcare, manufacturing, and logistics.
• AI Researcher: Innovate and contribute to the latest advancements in AI technology.

Wondering how to pursue a career in software engineering after completing 12th in Arts? Our detailed guide on Software Engineer After 12th Arts

Salary for AI & ML Professionals

AI and ML skills are highly lucrative. In India, the average salary ranges from ₹6 LPA for beginners to ₹25 LPA for experienced professionals. Globally, AI engineers earn over $120,000 annually, reflecting the high demand and specialized expertise required in this field.

 Pro Tip: Upskilling through structured courses like the AI Certification Course at Code with TLS not only equips you with practical skills but also significantly boosts your employability and earning potential.

For a comprehensive guide on becoming a Full Stack Developer in 2025, including essential skills, tools, and technologies, check out our detailed roadmap at Full Stack Developer Roadmap 2025.

Why Choose Code with TLS for AI & ML Courses?

When it comes to learning Artificial Intelligence and Machine Learning, not all courses are created equal. Code with TLS stands out by combining practical training, industry expertise, and placement support  ensuring you gain real-world skills that employers value.

Here’s why Code with TLS is the best choice:

• Affordable Fee Structure: Get high-quality AI and ML training without breaking the bank. Our courses are designed to deliver maximum value at a reasonable price.
• Industry Experts as Trainers: Learn from professionals with hands-on experience in AI, ML, Deep Learning, and Generative AI. Get insights that go beyond textbooks.
• Job Assistance: From resume building and interview preparation to placement support, we help you turn your skills into a successful career.
• Recognized Certifications: Earn industry-recognized AI certifications that enhance your credibility and employability.
• Cutting-Edge Modules: Explore Deep Learning, Natural Language Processing (NLP), Robotics, and Generative AI, ensuring you’re trained in the technologies driving the future.

Whether you’re a beginner, student, or working professional, Code with TLS provides a structured, hands-on learning path that prepares you for the most in-demand AI and ML roles.

 Pro Tip: If you’re serious about building a career in AI and ML, choosing the right institute can make all the difference. Code with TLS combines affordability, expertise, and placement-driven learning to give you a head start.

 Visit Us: 2/81-82, Ground Floor, Lalita Park, Gali No - 2, Laxmi Nagar, New Delhi - 110092
  Call: 918527866980
  Email: info@codewithtls.com

Get in touch with us at Contact Code with TLS.

FAQs on AI & ML Courses

Q1. Can I learn AI without machine learning?
AI and ML are closely connected, but it’s possible to start learning AI concepts without deep knowledge of ML. For example, you can explore AI fundamentals like chatbots, automation, and neural networks. However, machine learning is essential if you want to build advanced AI models or work on predictive analytics, deep learning, or generative AI projects.

Q2. Is machine learning easy to learn?
The difficulty of learning ML depends on your background. If you have basic programming and mathematical understanding, learning AI and machine learning from scratch is very achievable. Structured courses, hands-on projects, and practice make it much easier. Platforms like Code with TLS help beginners gradually advance from fundamentals to expert-level AI skills.

Q3. How long does it take to learn AI and ML from scratch?
With consistent effort:

• Beginner-level proficiency: 4–6 months
• Intermediate proficiency (projects & models): 6–12 months
• Advanced mastery: 1–2 years, depending on your pace and practice

The key is to start small, focus on fundamentals, and gradually move to real-world projects.

Q4. What are the 7 types of AI?
AI can be classified into seven categories based on capabilities and functionality:

1. Reactive Machines: Perform specific tasks without memory (e.g., Deep Blue chess engine)
2. Limited Memory: Use past data for decision-making (e.g., self-driving cars)
3. Theory of Mind AI: Understand human emotions and behaviors (research stage)
4. Self-Aware AI: AI with consciousness (hypothetical future AI)
5. ANI (Artificial Narrow Intelligence): AI focused on a specific task
6. AGI (Artificial General Intelligence): AI with human-like intelligence
7. ASI (Artificial Super Intelligence): AI surpassing human intelligence

Q5. Which is better: AI or Machine Learning?
AI is the broader field, while ML is a subset of AI. Both are important: AI covers intelligence-driven solutions, whereas ML focuses on teaching machines to learn patterns from data. Most modern AI applications, like generative AI, NLP, and recommendation engines, rely heavily on ML.

Q6. Who is eligible for AI & ML courses?
Anyone with curiosity and basic technical knowledge can start learning AI and ML. Typical learners include:

• Students: Engineering, computer science, mathematics, and even business students
• Working Professionals: IT, software development, data analysis, digital marketing
• Career Switchers & Beginners: No prior experience required  you can start from scratch

Q7. What are the prerequisites to learn AI & ML?

• Programming Knowledge: Python is highly recommended
• Mathematics: Linear algebra, probability, and statistics
• Analytical & Logical Thinking: Problem-solving skills and curiosity

Q8. What is the best book to learn AI & ML?
Some highly recommended books include:

• Hands-On Machine Learning with Scikit-Learn & TensorFlow by Aurélien Géron
• Artificial Intelligence: A Modern Approach by Stuart Russell and Peter Norvig
• Deep Learning by Ian Goodfellow

These books cover theory, practical implementation, and real-world projects, making them excellent resources for beginners and intermediates.

Q9. How much does an AI & ML professional earn?
Salaries in AI and ML are lucrative:

• Entry-Level: ₹6–8 LPA in India
• Mid-Level: ₹12–20 LPA
• Experienced Professionals: ₹25–40 LPA
• Global Markets: AI engineers in the US earn over $120,000 annually

Q10. How to learn AI and ML for free?
There are several platforms to start learning without spending money:

• Coursera Free Trial: Access university-level AI courses
• Kaggle Learn: Hands-on ML and AI projects with datasets
• Google AI Crash Course: Free tutorials for beginners
• edX & Udemy Free Versions: Introductory AI and ML courses

Q11. Can beginners learn AI & ML from scratch?
Absolutely! With step-by-step courses, beginner-friendly tutorials, and hands-on projects, anyone can start learning AI and ML. Platforms like Code with TLS provide structured learning paths specifically designed for beginners.

Q12. Which AI & ML certification course is best?
Some of the top courses include:

• Code with TLS AI Certification Course – Affordable, practical, and placement-oriented
• Simplilearn AI & ML Certification – Globally recognized and flexible
• Coursera AI & ML Courses – University-backed courses with project-based learning

Q13. Is AI & ML difficult to learn?
AI and ML may seem complex initially, but breaking the concepts into small, practical steps makes learning much easier. Hands-on projects and guided mentorship drastically simplify the process.

Q14. How can AI & ML boost my career?
By learning AI and ML, you can:

• Transition into high-demand tech roles
• Earn competitive salaries
• Work on cutting-edge technologies like generative AI, NLP, and robotics
• Gain a global career advantage in industries ranging from IT to healthcare
   

Final Thoughts

The world is moving towards an AI-first future, and professionals with AI/ML skills will lead the change. Whether you want to learn AI and machine learning from scratch, explore free AI and ML courses, or aim for a professional AI certification, the right training can open doors to limitless opportunities.

At Code with TLS, we are committed to helping learners gain real-world expertise with affordable, industry-ready AI and Machine Learning courses.

 Ready to kickstart your AI journey?

• Visit Us: 2/81-82, Ground Floor, Lalita Park, Gali No - 2, Laxmi Nagar, New Delhi - 110092
• Call Us: 8527866980
• Email: info@codewithtls.com

 Enroll today and shape your future with the power of Artificial Intelligence and Machine Learning.