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Online Classes Hindi Mother Tongue (Native)
English Proficient
Telugu Proficient
jntu 2011
Bachelor of Technology (B.Tech.)
Public Garden Road, Hyderabad, India - 500001
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Class Location
Online Classes (Video Call via UrbanPro LIVE)
Student's Home
Tutor's Home
Years of Experience in Python Training classes
10
Course Duration provided
1-3 months
Seeker background catered to
Individual
Certification provided
No
Python applications taught
Data Visualization with Python, Data Science with Python, Machine Learning with Python, Data Extraction with Python , Data Analysis with Python
Class Location
Online Classes (Video Call via UrbanPro LIVE)
Student's Home
Tutor's Home
Years of Experience in BTech Tuition
10
BTech Computer Science subjects
Machine Learning, Artificial Intelligence, Natural Language Processing
BTech Branch
BTech Computer Science Engineering
Experience in School or College
I have taken Online and Class room training in my organization! I can also help people with Data science assignments they have while doing Post graduation with any institute.
Type of class
Regular Classes
Class strength catered to
One on one/ Private Tutions
Taught in School or College
Yes
Class Location
Online Classes (Video Call via UrbanPro LIVE)
Student's Home
Tutor's Home
Years of Experience in Data Science Classes
10
Data science techniques
Python, Artificial Intelligence, Machine learning
Class Location
Online Classes (Video Call via UrbanPro LIVE)
Student's Home
Tutor's Home
Years of Experience in Generative AI Classes
10
Teaching Experience in detail in Generative AI Classes
I have delivered several training sessions and workshops on Generative AI for students and IT professionals. My sessions cover the fundamentals of large language models, prompt engineering, RAG, basic fine-tuning, and responsible use of GenAI. I include hands-on demos where learners build simple GenAI applications, work with embeddings, and understand how GenAI is applied in real projects such as knowledge assistants and document automation. My teaching style is practical and clear, focusing on making complex ideas easy to understand through examples and guided exercises.
Class Location
Online Classes (Video Call via UrbanPro LIVE)
Student's Home
Tutor's Home
Years of Experience in AI Training
10
Teaching Experience in detail in AI Training
I have taught AI concepts to students and professionals through structured sessions and workshops. My topics include machine learning fundamentals, supervised and unsupervised algorithms, model evaluation, data preparation, and practical workflows used in real projects. I also cover how AI systems are deployed and monitored in production environments. My teaching approach is hands-on and focused on clarity, using simple examples and guided exercises to help learners understand how AI techniques are applied to real-world problems.
Class Location
Online Classes (Video Call via UrbanPro LIVE)
Student's Home
Tutor's Home
Years of Experience in Full Stack Agentic AI
10
Teaching Experience in detail in Full Stack Agentic AI
I have delivered focused sessions on Agentic AI, introducing learners to the concepts of autonomous agents, tool use, planning, memory, and multi-agent workflows. My workshops include practical demonstrations where students build simple agents, work with frameworks like CrewAI, and see how agents can automate research, content generation, and decision-making tasks. I emphasize practical understanding, showing how Agentic AI fits into modern AI applications and how it differs from standard LLM-based systems. My teaching style keeps the concepts clear and hands-on, helping learners quickly grasp how agents operate and where they can add value in real projects.
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Class Location
Online Classes (Video Call via UrbanPro LIVE)
Student's Home
Tutor's Home
Years of Experience in Python Training classes
10
Course Duration provided
1-3 months
Seeker background catered to
Individual
Certification provided
No
Python applications taught
Data Visualization with Python, Data Science with Python, Machine Learning with Python, Data Extraction with Python , Data Analysis with Python
Class Location
Online Classes (Video Call via UrbanPro LIVE)
Student's Home
Tutor's Home
Years of Experience in BTech Tuition
10
BTech Computer Science subjects
Machine Learning, Artificial Intelligence, Natural Language Processing
BTech Branch
BTech Computer Science Engineering
Experience in School or College
I have taken Online and Class room training in my organization! I can also help people with Data science assignments they have while doing Post graduation with any institute.
Type of class
Regular Classes
Class strength catered to
One on one/ Private Tutions
Taught in School or College
Yes
Class Location
Online Classes (Video Call via UrbanPro LIVE)
Student's Home
Tutor's Home
Years of Experience in Data Science Classes
10
Data science techniques
Python, Artificial Intelligence, Machine learning
Class Location
Online Classes (Video Call via UrbanPro LIVE)
Student's Home
Tutor's Home
Years of Experience in Generative AI Classes
10
Teaching Experience in detail in Generative AI Classes
I have delivered several training sessions and workshops on Generative AI for students and IT professionals. My sessions cover the fundamentals of large language models, prompt engineering, RAG, basic fine-tuning, and responsible use of GenAI. I include hands-on demos where learners build simple GenAI applications, work with embeddings, and understand how GenAI is applied in real projects such as knowledge assistants and document automation. My teaching style is practical and clear, focusing on making complex ideas easy to understand through examples and guided exercises.
Class Location
Online Classes (Video Call via UrbanPro LIVE)
Student's Home
Tutor's Home
Years of Experience in AI Training
10
Teaching Experience in detail in AI Training
I have taught AI concepts to students and professionals through structured sessions and workshops. My topics include machine learning fundamentals, supervised and unsupervised algorithms, model evaluation, data preparation, and practical workflows used in real projects. I also cover how AI systems are deployed and monitored in production environments. My teaching approach is hands-on and focused on clarity, using simple examples and guided exercises to help learners understand how AI techniques are applied to real-world problems.
Class Location
Online Classes (Video Call via UrbanPro LIVE)
Student's Home
Tutor's Home
Years of Experience in Full Stack Agentic AI
10
Teaching Experience in detail in Full Stack Agentic AI
I have delivered focused sessions on Agentic AI, introducing learners to the concepts of autonomous agents, tool use, planning, memory, and multi-agent workflows. My workshops include practical demonstrations where students build simple agents, work with frameworks like CrewAI, and see how agents can automate research, content generation, and decision-making tasks. I emphasize practical understanding, showing how Agentic AI fits into modern AI applications and how it differs from standard LLM-based systems. My teaching style keeps the concepts clear and hands-on, helping learners quickly grasp how agents operate and where they can add value in real projects.
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