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25 Yrs
Skills: Body Language, Behavior Analysis, Gender Psychology, Human Behavior in Organization, Human Behaviour, Social Behaviour, Teachers Training, Interpersonal Communication, Communication Skills, Personality Development, Non verbal communication
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25 Yrs
Skills: Ibps Interview, Cv Writing, B-school Mock Interview, Gd and Interview Prep, Gdpi, It Interview, Job Interview, Mock Pi for Iims, Nm, Symbiosis and Multidisciplinary Skills Top B Schools of India, Employability Skills, Public Speaking Skills, Sbi Po, Campus Recruitment Training, Govt Jobs Preperation, Extemporaneous Speaking, Verbal Communication, Resume Building, Cover Letter Writing, Interview Skills, Mock Interviews, Recruitment Process, Interview Preparation
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7 Yrs
Skills: Chair Yoga
2 Yrs
Skills: 2d/3d Drafting, Architectural Drawings Explain Assistant
2 Yrs
Skills: Drafting, 2d/3d Drafting, Sketching, Architecture (uom) Aptitude Test Classes, Architectural Drawings Explain Assistant, Architecture
6 Yrs
Skills: Github, Advanced Machine Learning, Ai with Python, Machine Learning, Deep Learning Frameworks (tensorflow, Pytorch, Keras), Mi
6 Yrs
Skills: Ai, Prompt Engineering, Retrieval Augmented Generation (rag), Artificial Intelligence
12 Yrs
Skills: Ai, Machine Learning, Data Science, Data Analysis, Data Visualization, Python Programming, Algorithm Design, Object-oriented Programming (oop), Artificial Intelligence, Mi, NumPy
6 Yrs
Skills: A & AS Level Mathematics, Ai, Ai with Python, Machine Learning, Deep Learning Frameworks (tensorflow, Pytorch, Keras), Artificial Intelligence
6 Yrs
Skills: Hugging Face Transformers (for Working with Pre-trained Models)
1 Yrs
Skills: Effective Corporate Communication in Globalized Workplace, Public Speaking Skills, Vocabulary, Daily English Conversation, Interview Skills, Communication Skills, English, English vocabulary, English Reading, English listening, Oratory
3 Yrs
Skills: Creative Coding, Flask, Kids Fun and Enjoyable Interactive Sessions, Object Oriented Programming with Python, C Programming, Vs Code, Advanced Python Programming, Artificial Intelligence, Data Analysis, Machine Learning / AI Basics, Python
5 Yrs
Skills: Dsa, Dsa (data Structures and Algorithms), Basic Sql, Ai with Python, Machine Learning, Deep Learning, Natural Language Processing (nlp), Power BI
5 Yrs
Skills: Ai with Python, Machine Learning
6 Yrs
Skills: A & AS Level Mathematics, Jee Main Mathematics, Iit Jee Mathematics, Class 11 Mathematics, Class 12 Mathematics, CBSE Mathematics, Eamcet Math, Engineering Maths
6 Yrs
Skills: A & AS Level Mathematics, Cbse Applied Mathematics Class 12th, Ias Mains Mathematics, Ib Dp Math Hl, Advanced Engg. Math, Engg Mathematics, Igcse 9-1 Mathematics - Spec A, Iit Advanced Math, Iit Foundation Mathematics, Jee Advanced Math, Year 11 Mathematics, Olympiads Mathematics, Iit Jee Mathematics, As & A Level Further Mathematics 9231, Maths IIT Foundation, IIT Maths, Maths for JEE Mains, Maths for JEE Advanced, IIT JEE Maths, Eamcet Math
5 Yrs
Skills: Ai, Ai Ml, Machine Learning, Machine Learning / AI Basics
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4 Yrs
Skills: Cbse, Iit Foundation, Jee (mains and Advanced), Jee Advanced, Mht Cet, Neet, Jee Main, Chemistry, IIT, JEE, Test Prep
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5 Yrs
Skills: Neet, Botany, Teachers Training, Teaching Methods, Zoology, Neet Preparation, Biotechnology, Biology, Class 11, Class 12
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11 Yrs
Skills: Ielts, Adult English Language and Communication Skills, Adults Spoken English Classes, Public Speaking for Kids, Public Speaking Skills, Toefl, Daily English Conversation, Spoken English, english grammar, communication skills, English, IELTS Academic, IELTS General, Spoken English - Beginner, Spoken English - Advanced, Communication Skills, speaking english, Advance English, Language, IB English, Oral expression
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Chat With UsMost "AI course" searches lead to the same handful of free MOOCs — useful for a general overview, less useful when you're stuck on a specific concept at 11 PM with no one to ask. This page is for the second kind of learner: someone who wants a personal AI tutor online, not another self-paced video series to abandon in week three.
Yes — and for most people, it's the default path now. AI is taught effectively through live video sessions covering Python fundamentals, statistics and linear algebra, machine learning frameworks, and (increasingly) generative AI and prompt engineering. What online learning can't replace easily is feedback on your actual code and project work — which is exactly the gap a 1-on-1 tutor fills that a pre-recorded course can't.
If you're starting from scratch, this classification comes up constantly and is worth knowing before you pick a course. AI is typically grouped two ways:
By capability: Narrow AI (built for one specific task — most AI you interact with today, including chatbots and recommendation systems), General AI (human-level reasoning across any task — still theoretical), and Super AI (surpassing human intelligence — hypothetical).
By functionality: Reactive Machines (respond to input with no memory, like a chess engine evaluating only the current board), Limited Memory (uses recent past data to inform decisions — most current ML systems fall here), Theory of Mind (understands emotions/intent — still in research), and Self-Aware AI (has consciousness — purely theoretical).
Together, that's the "7 types of AI" you'll see referenced. In practice, almost everything you'll actually learn to build falls under Narrow AI with Limited Memory — that's where tutoring time is best spent.
Free and low-cost options genuinely exist — government-backed platforms like NPTEL and Skill India, along with free-audit tiers on Coursera and Google's AI training resources, are real and worth knowing about. What they're good for: structured foundational content and a certificate to show you engaged with it. What they're not built for: answering your specific question when a concept doesn't click, or reviewing your actual project code. Many learners use both — a free course for structure, a tutor for the parts that don't make sense from a video alone.
Rather than chasing a "best" course ranking (which changes constantly and depends on your starting point), a more useful filter for beginners is: does the course require Python fluency first, or does it teach that alongside AI concepts? If you're starting from zero, a tutor who can sequence Python fundamentals before diving into ML libraries will save you real frustration versus a course that assumes prior coding experience.
"AI tutor" covers very different people — someone teaching classical machine learning (regression, classification models), someone focused on deep learning frameworks (TensorFlow, PyTorch), and someone teaching generative AI and prompt engineering are three different skill sets. Check a tutor's listed specialization rather than assuming "AI" means the same thing across profiles.
AI concepts stick when you build something with them. Ask a prospective tutor whether sessions involve hands-on coding and small projects, or whether it's primarily theory walkthroughs — this matters more for AI than for most subjects.
A short trial class is the fastest way to confirm a tutor can actually explain code-level detail — ask them to walk through a real concept (say, how a neural network's loss function updates weights) rather than a textbook definition.
Depends entirely on what "learn AI" means to you. In 3 months of consistent, tutor-guided sessions, a beginner with some Python background can realistically build solid foundations — understanding core ML concepts, building and training basic models, and completing a couple of small projects. What 3 months won't get you: deep specialization (say, production-grade deep learning systems) or a job-ready portfolio without additional independent project work. Treat 3 months as "strong foundation," not "expert."
Rates vary by what you're booking — foundational Python-for-AI sessions typically cost less than specialized deep learning or generative AI tutoring, given the difference in tutor expertise required. Treat any figure you see as indicative and confirm the actual rate on the tutor's own profile before booking.
Tutor profiles are verified before listing, so you know who you're actually booking. You can filter by specific AI specialization, message tutors directly, read what past students said, and book a free trial before paying anything. If Python is your starting point, our Python programming tutors page is a useful adjacent stop before diving into AI-specific tutoring.
If you already know your specialization — ML foundations, deep learning, or generative AI — browse AI tutors online and filter accordingly. Teaching AI yourself? List your profile for free and keep 100% of what you charge; current openings are listed under teacher jobs.
There isn't a single "best" course — it depends on your starting point (do you already know Python?) and your goal (general ML, deep learning, or generative AI). Comparing a couple of tutor profiles against your specific goal, rather than relying on a generic "best of" list, tends to get better results.
Yes. Core AI concepts, coding, and even project work translate well to live online sessions — the main limitation of self-paced video courses is personalized feedback, which is exactly what 1-on-1 tutoring adds.
AI is commonly classified two ways: by capability (Narrow AI, General AI, Super AI) and by functionality (Reactive Machines, Limited Memory, Theory of Mind, Self-Aware AI) — seven categories total. Almost all AI in practical use today falls under Narrow AI with Limited Memory.
You can build a solid foundation in 3 months with consistent tutoring — core concepts, basic model-building, and a small project or two. Deep specialization or a job-ready portfolio typically needs longer and additional independent practice.
Not strictly, but it helps significantly. Most AI tutoring assumes at least basic Python — if you're starting from zero, look for a tutor who explicitly covers Python fundamentals before moving into AI/ML concepts.
AI is the broad field of building systems that perform tasks requiring human-like intelligence. Machine learning is a subset of AI where systems learn patterns from data rather than following fixed rules. Deep learning is a further subset of machine learning using layered neural networks, typically for more complex tasks like image or language processing.
Complete beginners are a large share of AI tutoring demand — the field's popularity means many learners have no prior tech background. A tutor who explicitly teaches from fundamentals (rather than assuming a CS degree) is worth prioritizing if that's your situation.