kotapati lakshmareddy
Tirupati/Online
Skills
About
I am a passionate Data Scientist and Generative AI professional with hands-on industry experience in building real-world AI solutions. I specialize in Python, Data Science, Machine...
kotapati lakshmareddy
Tirupati/Online
Skills :
I am a passionate Data Scientist and Generative AI professional with hands-on industry experience in building real-world AI solutions. I specialize in Python, Data Science, Machine...
Courses by: kotapati lakshmareddy
Python Programming Course by Kotapati Lakshmareddy
This Core Python Programming Course is a comprehensive training program designed to help beginners and aspiring developers build a strong foundation in one of the most popular and versatile programming languages. Python is widely used in software development, data analysis, automation, Artificial Intelligence, and web applications, making it an essential skill for modern technology careers.
The course provides a step-by-step learning pathway, starting from basic programming concepts and gradually progressing to advanced topics such as object-oriented programming, file handling, and working with popular Python libraries. With a strong focus on practical learning and real-world projects, students will gain the confidence to write programs independently and apply Python in professional scenarios.
This course is ideal for students, beginners in coding, working professionals, and anyone interested in entering fields like software development, data science, or AI.
What Students Will Learn
Module 1: Python Basics
Introduction to Python and installation setup
Variables and data types
Input and output functions
Comments and basic syntax
Module 2: Control Flow
Conditional statements (if, elif, else)
Loops (for, while)
Break and continue statements
Module 3: Data Structures
Lists and list operations
Tuples and sets
Dictionaries and key-value pairs
String handling and operations
Module 4: Functions
Defining and calling functions
Function arguments and return values
Lambda functions
Recursion basics
Module 5: Object-Oriented Programming (OOP)
Classes and objects
Constructors
Inheritance and polymorphism
Encapsulation
Module 6: File Handling
Reading and writing files
Working with CSV and text files
Exception handling (try, except, finally)
Module 7: Libraries and Packages
NumPy basics
Pandas for data handling
Matplotlib for visualization
Module 8: Real-World Projects
Data analysis mini project
Automation script
Simple application development
Module 9: Interview Preparation
Python coding questions
Logical problem solving
Best coding practices
Teaching Method
This course is conducted through live online interactive sessions designed to provide hands-on learning. The teaching methodology includes:
• Step-by-step concept explanations
• Live coding demonstrations
• Practical exercises and assignments
• Real-world project development
• Interactive doubt-clearing sessions
The focus is on learning by doing, ensuring students gain confidence in applying Python concepts effectively.
Why Learn from This Tutor
The course is structured to simplify complex programming concepts and make them easy to understand for beginners. The teaching approach emphasizes clarity, consistent practice, and practical implementation, helping learners progress smoothly from fundamentals to real-world application development.
Outcome of the Course
Strong Python fundamentals
Ability to build real-world programs
Ready for Data Science and AI learning
Generative AI Course by Kotapati Lakshmareddy Online
The Generative AI Course is a comprehensive, industry-focused training program designed to help learners understand and apply modern Artificial Intelligence technologies, especially Large Language Models (LLMs). This course provides a structured learning pathway from AI fundamentals to building real-world AI applications such as chatbots, document analysis systems, and intelligent content generation tools.
With the rapid growth of AI-powered technologies across industries, there is a strong demand for professionals who can understand, design, and deploy intelligent AI solutions. This program equips students, developers, and working professionals with practical skills in prompt engineering, AI integration, Retrieval-Augmented Generation (RAG), and AI application development.
The course combines conceptual learning with hands-on projects to ensure learners gain both theoretical understanding and real implementation experience in Generative AI systems.
What Students Will Learn
Module 1: Introduction to Generative AI
What is Generative AI?
Applications and real-world use cases
Overview of Large Language Models (LLMs)
AI tools and ecosystem
Module 2: Foundations of AI & Machine Learning
Basics of Machine Learning concepts
Neural networks fundamentals
Natural Language Processing (NLP) basics
Module 3: Working with Large Language Models (LLMs)
How LLMs work
Model capabilities and limitations
Using pre-trained AI models
API-based AI integration
Module 4: Prompt Engineering
What is prompt engineering
Writing effective prompts
Prompt patterns and techniques
Real-world prompt design practice
Module 5: Building AI Applications
AI chatbots development
Text generation systems
Question-answering applications
Document processing AI tools
Module 6: Retrieval-Augmented Generation (RAG)
Concept of RAG architecture
Embeddings and vector databases
Knowledge-based AI systems
Building document Q&A systems
Module 7: AI Frameworks & Tools
AI development frameworks overview
Model integration in applications
Workflow automation with AI
Module 8: Real-World Projects
AI chatbot project
PDF question-answer system
Content generation tool
Custom AI assistant
Module 9: Responsible AI & Best Practices
AI ethics and limitations
Data privacy and security
Bias and responsible usage
Module 10: Deployment & Career Guidance
Deploying AI applications
Portfolio building
Industry use cases
Career paths in Generative AI
Teaching Method
This course is delivered through live online sessions, ensuring flexible learning for students and professionals. The teaching approach includes:
• Concept-focused interactive sessions
• Live demonstrations of AI tools
• Hands-on coding practice
• Real-world project implementation
• Guided assignments and mentoring
• Doubt-clearing and progress tracking
The learning methodology emphasizes practical application to help students confidently build AI solutions.
Why Learn from This Tutor
The course is designed with a practical and structured approach that helps learners progress from basic AI concepts to advanced application development. The training focuses on clarity, real-world implementation, and hands-on experience to ensure students develop industry-relevant AI skills.
Outcome of the Course
Understand how Generative AI works
Ability to build real AI applications
Hands-on experience with LLMs and RAG systems
Industry-ready AI development skills