Find top AI/ML tutors - learn AI/ML today

Find top AI/ML tutors - learn AI/ML today

Master AI/ML from our AI/ML tutors, mentors, and teachers who will personalize a study plan to help you refine your AI/ML skills. Find the perfect AI/ML tutor now.

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Learn AI/ML with online tutors

  • Learn AI/ML with AI/ML tutors - Alan Santos

    Alan Santos

    AI/ML tutor

    US$24.00 /15 min
    35 reviews

    *AI-Powered Developer (Web & Mobile & Software & Embed devices)* AI Integrate | AI Agents | Generative AI *Need a boost in your skills or results?* *Read my profile before hiring.* I bring expertise in delivering high-quality projects and results using a wide range of technologies and tools: - *AI Integrate and Machine Learning* ChatGPT, Gemini, Claude Integrating AI models(LLM, NLP, CV) Auto-GPT, BabyAGI, SuperAGI Zapier AI, Rewind AI, Otter.ai Machine Learning, CNN, Keras, LSTM, PyTorch, Tensorflow, Computer Vision, sci-kit - *AI-Driven Frontend* React.js, Next.js, Bootstrap, Javascript, Typescript, MUI, TailwindCSS - *Backend & API & AI agents* Node.js, Express.js, Django, Flask, Ruby on Rails, ASP.NET, FastAPI, and GraphQL. - *AI-Powered Mobile Development* Swift (iOS), Java/Kotlin(Android), Dart (Flutter), React Native, Ionic AR / VR, Unity - *General Purpose Languages*: Python (Pandas, NumPy) C/C++, Java, R, Assembly, MATLAB, Rust, Go - *Scripting and Automation*: Shell scripting (Bash), PowerShell, Lua, and Tcl. - *Database Management*: MySQL, PostgreSQL, MongoDB, SQLite, Firebase, MariaDB, Redis, and Cassandra. - *Software*: C#, Asp.net - *DevOps & Cloud*: Docker, Kubernetes, Jenkins, Terraform, Ansible, AWS (EC2, Lambda, S3, DynamoDB), Azure, and Google Cloud Platform (GCP). - *Tools & Platforms*: LaTeX, Excel (advanced functions, VBA), Jupyter Notebooks, Power BI, MS Power Automate, Tableau, and Elasticsearch. - *Miscellaneous Skills*: - *Automation*: Selenium, Beautiful Soup, Puppeteer. - *Data Analysis & Visualization*: Matplotlib, Seaborn, D3.js. - *Version Control & Collaboration*: Git, GitHub, GitLab, Bitbucket. - *Software Development Methodologies*: Agile/Scrum, Test-Driven Development (TDD). I can assist you with: - Adding *extra hands* to your team to speed up development. - *Reviewing, debugging, and optimizing* your code for performance and maintainability. - *Collecting, analyzing, and visualizing data* to build insightful reports, presentations, and dashboards. My ultimate goal is to *over-deliver* and ensure you're 100% satisfied with the results. If my profile resonates with your needs, feel free to send me a message. Let's bring your project to the next level together!

  • Learn AI/ML with AI/ML tutors - Tanisha Bhayani

    Tanisha Bhayani

    AI/ML tutor

    US$50.00 /15 min
    302 reviews

    6 years of experience in building and managing AI Systems. * I develop end-to-end AI systems from requirements analysis, and data gathering to deployment, implementing new methods/research papers, and turning projects into research outcomes. I have achieved substantial performance in DL/ML/RL models for CV and NLP domain problems. * Implementing and deploying projects handling and maintaining scalability, research papers as well as POCs. * Project planning, requirements gathering, and analysing requirements to define the system's architecture, and implementation timeline. * Provide mentoring to junior developers for ML projects. Website: [roshantanisha.github.io/?ref=codementor](http://roshantanisha.github.io/?ref=codementor) Summary: I like to work on technology that is smart, simple and sophisticated. This sums up the vast knowledge required to work on projects to excel in a working product. I like to train Deep Neural Networks and understand them well. I have mentored many students for their AI careers, teaching them Machine Learning and Mathematics. I am a mentor for the RFS (Reach for the Stars) Programme by the Aga Khan Education Board for India. I am an alumnus of this program as well. I have a cumulative experience of 6 years working in the product and service-based industry for creating Machine Learning projects. I have done some innovative work that I am proud of and am continuing to do so. I try my best to contribute my expertise to the project I am working on. Highly Experienced in Machine Learning, Deep Learning, Advanced Deep Learning, Artificial Intelligence, and Algorithms, including models in the production environment, and deploying ML models. Working with top Indian colleges like BITS, niche NLP and CV, real-estate startups, MNCs, and Fortune top 20 companies, working with sensitive anonymized datasets, and creating state-of-the-art models are some of my achievements. I have strong and correct knowledge of Deep Learning concepts from the above experiences.

  • Learn AI/ML with AI/ML tutors - Prince

    Prince

    AI/ML tutor

    US$15.00 /15 min
    93 reviews

    I am a highly motivated and collaborative team player in addition to my technical skills. I've worked in agile development environments before and have a track record of effectively communicating with cross-functional teams to complete projects on time and on budget. Mobile and Frontend Proficiency(Android/Flutter): Proven track record in building cross-platform mobile apps with a focus on UI/UX excellence. Full-Stack Skills(Python, Go, REST, RPC): Proficient in front-end and back-end development, ensuring end-to-end app solutions. Game Development : Expert in Unity/Unreal development and scripting Design Sensibility(Figma): Strong eye for design principles and user experience best practices. Problem-Solving: Skilled at tackling technical challenges and finding innovative solutions. Continuous Learning: Committed to staying updated with industry trends and tools

  • Learn AI/ML with AI/ML tutors - Lauren Berdick

    Lauren Berdick

    AI/ML tutor

    US$10.00 /15 min
    52 reviews

    Hi! I am an Experienced Software Engineer with a demonstrated history of working in the IT and Consulting industry. Skilled in AI, Cybersecurity, Advanced Mathematics, Data Structures and Algorithms, Probability, Python, C#, Java, Android Development. Strong engineering professional with a Bachelor of Science and Engineering focused in Computer Science from Princeton University.

  • Learn AI/ML with AI/ML tutors - Aryan Gupta

    Aryan Gupta

    AI/ML tutor

    US$30.00 /15 min
    65 reviews

    ||**Refund if I fail to solve your problem completely!**|| - **Full Stack Software Engineer** with **4 years** of experience - Currently Employed as a **Google Engineer and Tech Consultant** - **M.S. in Artificial Intelligence and Machine Learning** - Working in the **IT sector** since the **age of 17**

  • Learn AI/ML with AI/ML tutors - Chris Potempa

    Chris Potempa

    AI/ML tutor

    US$25.00 /15 min
    33 reviews

    Independent consultant with 6 years industry experience. Ex-Google AI, buyside quant. I've been working on technically complex projects for some sixteen years, and explaining them to others for about as long. Whether that's an exposition of a high-school level math problem or educating a startup CEO on technology topics as they relate to their business, I both enjoy and am effective doing it. My core expertise is in Machine Learning, from basic research, some of it published and patented, to direct applications. Some tools and concepts I have experience using: Python, C++, PyData ecosystem (numpy, scipy, pandas, numba, etc.), pytorch, optimization (for ML and other problems, such as scheduling), SQL databases, Arrow, Parquet. Happy to help with your problems!

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    Martin Wright

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How to find AI/ML tutors on Codementor

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Frequently asked questions

How to learn AI/ML?

Learning AI/ML effectively takes a structured approach, whether you're starting as a beginner or aiming to improve your existing skills. Here are key steps to guide you through the learning process:

  • Understand the basics: Start with the fundamentals of AI/ML. You can find free courses and tutorials online that cater specifically to beginners. These resources make it easy for you to grasp the core concepts and basic syntax of AI/ML, laying a solid foundation for further growth.
  • Practice regularly: Hands-on practice is crucial. Work on small projects or coding exercises that challenge you to apply what you've learned. This practical experience strengthens your knowledge and builds your coding skills.
  • Seek expert guidance: Connect with experienced AI/ML tutors on Codementor for one-on-one mentorship. Our mentors offer personalized support, helping you troubleshoot problems, review your code, and navigate more complex topics as your skills develop.
  • Join online communities: Engage with other learners and professionals in AI/ML through forums and online communities. This engagement offers support, new learning resources, and insights into industry practices.
  • Build real-world projects: Apply your AI/ML skills to real-world projects. This could be anything from developing a simple app to contributing to open source projects. Using AI/ML in practical applications not only boosts your learning but also builds your portfolio, which is crucial for career advancement.
  • Stay updated: Since AI/ML is continually evolving, staying informed about the latest developments and advanced features is essential. Follow relevant blogs, subscribe to newsletters, and participate in workshops to keep your skills up-to-date and relevant.

How long does it take to learn AI/ML?

The time it takes to learn AI/ML depends greatly on several factors, including your prior experience, the complexity of the language or tech stack, and how much time you dedicate to learning. Here’s a general framework to help you set realistic expectations:

  • Beginner level: If you are starting from scratch, getting comfortable with the basics of AI/ML typically takes about 3 to 6 months. During this period, you'll learn the fundamental concepts and begin applying them in simple projects.
  • Intermediate level: Advancing to an intermediate level can take an additional 6 to 12 months. At this stage, you should be working on more complex projects and deepening your understanding of AI/ML’s more advanced features and best practices.
  • Advanced level: Achieving proficiency or an advanced level of skill in AI/ML generally requires at least 2 years of consistent practice and learning. This includes mastering sophisticated aspects of AI/ML, contributing to major projects, and possibly specializing in specific areas within AI/ML.
  • Continuous learning: Technology evolves rapidly, and ongoing learning is essential to maintain and improve your skills in AI/ML. Engaging with new developments, tools, and methodologies in AI/ML is a continuous process throughout your career.

Setting personal learning goals and maintaining a regular learning schedule are crucial. Consider leveraging resources like Codementor to access personalized mentorship and expert guidance, which can accelerate your learning process and help you tackle specific challenges more efficiently.

How much does it cost to find a AI/ML tutor on Codementor?

The cost of finding a AI/ML tutor on Codementor depends on several factors, including the tutor's experience level, the complexity of the topic, and the length of the mentoring session. Here is a breakdown to help you understand the pricing structure:

  • Tutor experience: Tutors with extensive experience or high demand skills in AI/ML typically charge higher rates. Conversely, emerging professionals might offer more affordable pricing.
  • Pro plans: Codementor also offers subscription plans that provide full access to all mentors and include features like automated mentor matching, which can be a cost-effective option for regular, ongoing support.
  • Project-based pricing: If you have a specific project, mentors may offer a flat rate for the complete task instead of an hourly charge. This range can vary widely depending on the project's scope and complexity.

To find the best rate, browse through our AI/ML tutors’ profiles on Codementor, where you can view their rates and read reviews from other learners. This will help you choose a tutor who fits your budget and learning needs.

What are the benefits of learning AI/ML with a dedicated tutor?

Learning AI/ML with a dedicated tutor from Codementor offers several significant benefits that can accelerate your understanding and proficiency:

  • Personalized learning: A dedicated tutor adapts the learning experience to your specific needs, skills, and goals. This personalization ensures that you are not just learning AI/ML, but exceling in a way that directly aligns with your objectives.
  • Immediate feedback and assistance: Unlike self-paced online courses, a dedicated tutor provides instant feedback on your code, concepts, and practices. This immediate response helps eliminate misunderstandings and sharpens your skills in real-time, making the learning process more efficient.
  • Motivation and accountability: Regular sessions with a tutor keep you motivated and accountable. Learning AI/ML can be challenging, and having a dedicated mentor ensures you stay on track and continue making progress towards your learning goals.
  • Access to expert insights: Dedicated tutors often bring years of experience and industry knowledge. They can provide insights into best practices, current trends, and professional advice that are invaluable for both learning and career development.
  • Career guidance: Tutors can also offer guidance on how to apply AI/ML in professional settings, assist in building a relevant portfolio, and advise on career opportunities, which is particularly beneficial if you plan to transition into a new role or industry.

By leveraging these benefits, you can significantly improve your competency in AI/ML in a structured, supportive, and effective environment.

How does personalized AI/ML mentoring differ from traditional classroom learning?

Personalized AI/ML mentoring through Codementor offers a unique and effective learning approach compared to traditional classroom learning, particularly in these key aspects:

  • Customized content: Personalized mentoring adapts the learning material and pace specifically to your needs and skill level. This means the sessions can focus on areas where you need the most help or interest, unlike classroom settings which follow a fixed curriculum for all students.
  • One-on-one attention: With personalized mentoring, you receive the undivided attention of the tutor. This allows for immediate feedback and detailed explanations, ensuring that no questions are left unanswered, and concepts are fully understood.
  • Flexible scheduling: Personalized mentoring is arranged around your schedule, providing the flexibility to learn at times that are most convenient for you. This is often not possible in traditional classroom settings, which operate on a fixed schedule.
  • Pace of learning: In personalized mentoring, the pace can be adjusted according to how quickly or slowly you grasp new concepts. This custom pacing can significantly enhance the learning experience, as opposed to a classroom environment where the pace is set and may not align with every student’s learning speed.
  • Practical, hands-on learning: Mentors can provide more practical, hands-on learning experiences tailored to real-world applications. This direct application of skills is often more limited in classroom settings due to the general nature of the curriculum and the number of students involved.

Personalized mentoring thus provides a more tailored, flexible, and intensive learning experience, making it ideal for those who seek a focused and practical approach to mastering AI/ML.

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