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Shahrukh Khan
Cnn tutor
US$15.00 /15 min
An accomplished PHP Developer specialising in Laravel with extensive experience in the full life cycle of the software design process including requirements definition, prototyping, proof of concept, design, interface implementation, testing and maintenance. xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx IF I CAN'T HELP YOU I WILL PROCESS FULL REFUND xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx =============================== Areas covered in web development =============================== • Creating Online Portals • Develop Local Search Engines • Streaming Videos • Broadcast Live Videos • Generating Reports • Sending SMS • Creating Blogs and discussion Board • Integrating social and transactional APIs whether it is for mailing or sending SMS. My skills include but not limited to: • PHP, NodeJS • SQL, MySQL, MongoDB • JavaScript, jQuery, ReactJS, React Native, VueJS • HTML5, Bootstrap 3, Bootstrap 4, Bootstrap 5, Material Design • CSS3, SASS, LASS, • Laravel, Codeigniter, OpenCart, Wordpress • Linux System Administration
- Cnn
- HTML/CSS
- PHP
- jQuery
- Ubuntu
- React
- JavaScript
- Vue.js
- SQL
- MySQL
- WordPress
- Linux
- Bash
- CodeIgniter
- Shell
- Laravel
- Amazon EC2
- Amazon S3
- Elasticsearch
- CentOS
- Cloud
- Front-End
- MariaDB
- Kibana
- Logstash
- Amazon RDS
- Javascript patterns
- Neural Networks
- DigitalOcean
- Microsoft SQL Server
- Deep Learning
- Front end workflow
- TensorFlow
- Convolutional neural networks
- Rnn
- Linux System Administration
- Server-Side Development
- AWS
Sim Virdi
Cnn tutor
US$30.00 /15 minPython and AI expert with 5+ years of professional experience starting and managing VC backed startups engineering and design teams, as well as publishing Machine Learning research in top bio-medical journals. Currently continuing research in diagnosing COVID from Lung Scans in partnership with Imperial University. If there's anything I can help you with feel free to contact me, I always go above and beyond to ensure you get the best result. I can help with: - Machine Learning (Design and Implementation) - Full Stack Development - Bug Fixes and Issue Resolving - Code Review - Project Design and Implementation - Cloud Setup - Mentoring or Freelance
Leandro Medus
Cnn tutor
US$15.00 /15 minDuring my grad school period, I developed a fascination for programming and embedded systems. Since then, I've been teaching "Embebbed C" for advanced students at the university, and "Advance Programming" in C++. On the other hand, I've worked with algorithms and problem solving, so a strong background in Matlab and Python was required. After academia, I've worked developing embedded C/C++ applications with Qt interfaces. Later, I decided to pursue a Ph.D. in hardware design in FPGAs for fast data processing. Since then, I've developed different projects using C, C++, Python, Qt, Keras, Skit-learn, Pandas, VHDL, scripting, and more. I really enjoy being a mentor because I can continue teaching, giving a different perspective, and helping others with solutions for different cool projects.
- Cnn
- Python
- C++
- Microcontroller
- MATLAB
- Embedded Systems
- C
- Git
- Regex
- Linux
- Bash
- Qt
- OOP
- OpenCV
- OpenGL
- Assembly
- STL
- Linux Kernel
- Automation
- Machine learning
- Arduino
- Raspberry Pi
- Hardware
- Signal Processing
- VHDL
- Verilog
- Algorithm
- HLSL
- Hls
- Qt 5
- Neural Networks
- Subversion
- State machine
- Flowchart
- Linear regression
- Msp430
- Deep Learning
- Support vector machine
- ESP8266
- STM32
- Intel
- FPGA
- Xilinx
- Nano Editor
- Enterprise Architecture
- Convolutional neural networks
- Shrine
- Bbb
- Vivado
- Quartus
- Altera
- PCB Design
- ESP32
- Uno
- Beagle bone
- Operating Systems
- ANSI C
- Driver development
- Linux Device Drivers
RamKumar Manoharan
Cnn tutor
US$20.00 /15 minAgentic AI Architect | Designing Autonomous AI Systems, Multi-Agent Workflows & Enterprise GenAI Solutions I specialize in architecting and building next-generation Agentic AI systems that combine Large Language Models (LLMs), autonomous agents, retrieval systems, and workflow orchestration to solve real-world business problems at scale. My work focuses on creating intelligent AI ecosystems capable of reasoning, planning, tool usage, memory management, and multi-step decision making across enterprise environments. With 16+ years of experience in AI, Machine Learning, Data Engineering, and Generative AI, I have designed and implemented production-grade AI solutions spanning AI Agents, RAG systems, Knowledge Graph integration, AI copilots, intelligent automation, and multi-agent orchestration frameworks. Key Areas of Expertise Agentic AI System Design & Architecture Multi-Agent Collaboration Frameworks Retrieval-Augmented Generation (RAG) Knowledge Graph + LLM Integration AI Copilots & Autonomous Workflows Prompt Engineering & Reasoning Systems AI Evaluation & Hallucination Reduction LLM Fine-Tuning & Optimization AI Workflow Automation Enterprise AI Solution Engineering Conversational AI & AI Assistants AI Governance, Safety & Reliability Technologies & Frameworks Python, FastAPI, Streamlit LangChain, LangGraph, CrewAI, Semantic Kernel OpenAI GPT, Claude, Gemini, Llama, Mistral Amazon Bedrock, Azure AI Foundry, AWS SageMaker ChromaDB, Pinecone, FAISS, Weaviate Neo4j Knowledge Graphs Hugging Face Transformers Docker, Kubernetes, APIs, MCP-based Architectures Vector Databases & Embedding Pipelines AI Monitoring & Evaluation Frameworks Areas I Mentor & Consult On Building AI Agents from Scratch Enterprise Agentic AI Architecture RAG Pipeline Development Multi-Agent System Design LangGraph & CrewAI Implementations Knowledge Graph for LLMs AI Product Architecture Generative AI Project Guidance AI Startup Technical Strategy Production Deployment & Scaling of AI Systems I actively mentor developers, startups, engineers, and enterprises in transforming AI concepts into scalable intelligent systems with a strong focus on practical implementation, architecture clarity, and industry-ready solutions.
Rajesh Shreedhar Bhat
Cnn tutor
US$30.00 /15 minHello, I work as a Data Scientist at Walmart Labs, Bengaluru, India, and have 4 years of experience now. At Walmart, I am focused on building reusable machine/deep learning solutions that can be used across various business domains. I have research publications in the field of NLP and Vision, which are published at top tier conferences such as CoNLL, ASONAM, etc.. and have filed 6 US patents in Retail space leveraging AI & ML. Also, in my free time I participate in Kaggle competitions and now I am a Kaggle Competitions Expert(World Rank 966/122431) with 3 Silver and 2 Bronze medals. I have been speaker in highly recognized conferences/meetups such as Spark AI Summit, Data Hack Summit, Kaggle days meet up – Senior Track, etc .. Apart from this, I am a mentor for Udacity Deep learning & Data Scientist Nanodegree programs for the past 3 years and have conducted ML & DL workshops in GE Healthcare, IIIT Kancheepuram and many other places. For more details: https://rajesh-bhat.github.io
Sumit Kumar Baranwal
Cnn tutor
US$15.00 /15 minI have over 7 years of experience in Data Science (particularly in computer vision) domain. Currently associated with Sony India as Deep Learning Consultant. My work is writing efficient algorithms to support new and existing functionalities of the company where in exploring & understanding open-source contributions and use it as base to enhance the quality in terms of predictions, processing time etc. I have been part of multiple projects in current company and previous company(Wipro) at different stages of Data Science workflow (data collection & annotations, exploratory data analysis, model building from scratch or transfer learning on pre-trained model, fine-tuning of existing model, evaluation and inferencing of model). Proposed several approaches in terms of data-centric or model-centric which were used to enhance the model robustness and performance on unseen data. I have enough experience with machine learning frameworks like pytorch, tensorflow, keras etc. Due to NDA signed, I won't be able to write the project details here but I am available on call to discuss the same in brief for better understanding. Coming from a computer science background, I have a strong grasp on python, data structures & algorithms. I can write efficient code which can run fast and memory efficient. I have strong understanding of machine learning and deep learning algorithms, concepts. This is my first attempt to freelancing and I am excited to take this as an opportunity to be an integral part of my client's success. I am looking forward to start this journey which is dependent on your trust to provide me a chance to start. I am almost available all the time to connect and discuss the problems and requirements.
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See the power of our Cnn tutors through glowing user reviews that showcase their successful Cnn learning journeys. Don't miss out on top-notch Cnn training.
“Erick has consistently been knowledgeable, supportive, and patient throughout our sessions. He has helped me develop a stronger understanding of the concepts behind building a webpage using Python, JavaScript, and HTML. His ability to clearly explain each topic has made the learning process much more approachable and effective. I appreciate his guidance and would highly recommend him as a mentor.“
C / Apr 2026
Erick Alpizar Rivera
Cnn tutor
“Salako was incredibly helpful and reassuring, answering my many questions and follow-up questions with his expertise. He really helped me weigh each option and weigh the pros and cons of each one. Thank you!“
Aaron A / May 2026
SALAKO TESLIM
Cnn tutor
“Working with Oluwatobi has been a great experience. He doesn’t just teach — he makes sure you truly understand. He breaks things down step by step, gives practical examples, and stays patient throughout the entire session. His dedication, clarity, and professionalism really stand out. I strongly recommend him to anyone looking for a knowledgeable and supportive mentor. I would choose him over and over again.“
Hazla Masoud / May 2026
Oluwatobi Akinseye
Cnn tutor
“Wow! I am speechless, Samir is simply the best. He is so smart and fast and knowledgeable. I have never seen such a speedy programming in my entire life. He is just born to be a developer! Really thank you for your help and support!“
vanya / May 2026
Samir Habib Zahmani
Cnn tutor
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Arrange regular session times with Cnn tutors for one-on-one instruction.
Frequently asked questions
How to learn Cnn?
Learning Cnneffectively 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 Cnn. 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 Cnn, 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 Cnn 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 Cnn through forums and online communities. This engagement offers support, new learning resources, and insights into industry practices.
- Build real-world projects: Apply your Cnn skills to real-world projects. This could be anything from developing a simple app to contributing to open source projects. Using Cnn in practical applications not only boosts your learning but also builds your portfolio, which is crucial for career advancement.
- Stay updated: Since Cnn 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 Cnn?
The time it takes to learn Cnn 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 Cnntypically 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 Cnn’s more advanced features and best practices.
- Advanced level: Achieving proficiency or an advanced level of skill in Cnn generally requires at least 2 years of consistent practice and learning. This includes mastering sophisticated aspects of Cnn, contributing to major projects, and possibly specializing in specific areas within Cnn.
- Continuous learning: Technology evolves rapidly, and ongoing learning is essential to maintain and improve your skills in Cnn. Engaging with new developments, tools, and methodologies in Cnn 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 Cnn tutor on Codementor?
The cost of finding a Cnntutor 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 Cnn 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 Cnn 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 Cnn with a dedicated tutor?
Learning Cnn 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 Cnn, 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 Cnn 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 Cnn 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 Cnn in a structured, supportive, and effective environment.
How does personalized Cnn mentoring differ from traditional classroom learning?
Personalized Cnn 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 Cnn.
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