Mahendra Reddy
Online
Mahendra Reddy
Online
Skills :
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Courses by: Mahendra Reddy
Data Science, Gen AI, Python
I am Mahendra Reddy, a passionate trainer with 3.5 years of experience in Artificial Intelligence, Python Programming, AI with Python, Data Analytics, and Tableau Desktop. I focus on delivering practical, hands-on learning that bridges theoretical concepts with real-world applications.
My approach helps learners gain strong skills in AI model development, data analysis, and visualization, preparing them for careers in AI, Data Science, and Analytics. I guide students through projects, interactive exercises, and industry-relevant techniques to ensure they are industry-ready and confident in their abilities.
Module 1: Python Programming for AI
Python basics and advanced concepts
Object Oriented Programming in Python
Libraries for AI (NumPy, Pandas, Matplotlib)
Module 2: Artificial Intelligence Fundamentals
Introduction to AI and Machine Learning
AI algorithms and techniques
AI applications in real-world scenarios
Module 3: AI with Python
Implementing AI models using Python
Data preprocessing and model training
Hands-on projects with Python AI libraries
Module 4: Data Analytics and Visualization
Basics of Data Analytics
AI and Data Analytics integration
Advanced reporting and insights generation
Module 5: Tableau Desktop
Introduction to Tableau Desktop
Building dashboards and interactive reports
AI-driven data visualization techniques
Capstone Project:
End-to-end AI and Data Analytics project using Python and Tableau
Advanced Prompt Engineering
Mahendra Reddy is an expert in Prompt Engineering with over 3.5 years of experience in AI, NLP, and generative AI. He specializes in designing and optimizing prompts to enhance AI outputs, helping learners gain practical, hands-on skills in modern AI technologies.
His training focuses on real-world applications, effective prompt design, and career-oriented guidance, making complex AI concepts easy to understand and implement for students and professionals alike.
Course Content:Introduction to Prompt Engineering
Basics of AI & NLP
Role of prompts in generative AI
Prompt Design Fundamentals
Crafting effective prompts
Context, tone, and style in AI responses
Advanced Prompt Techniques
Few-shot and zero-shot prompting
Chain-of-thought prompting
Role-based prompts
Generative AI Applications
Prompts for ChatGPT & LLMs
Prompts for content generation
Prompts for coding & data analysis
Optimization & Fine-tuning
Evaluating prompt effectiveness
Troubleshooting and refining outputs
Practical Projects
Real-world case studies
Industry-focused applications of prompt engineering
Career Guidance
Applications in AI-driven roles
Future trends in Prompt Engineering
Prompt Patterns & Techniques – Dive into advanced methods like Chain-of-Thought, ReAct, and Tree-of-Thought prompting.
Role & Context Design – Learn how to create effective AI personas and structure prompts for domain-specific tasks.
Tool Use & Function Calling – Explore how prompts interact with APIs, tools, and external functions in real-world workflows.
Prompt Chaining & Automation – Build multi-step prompt systems for complex problem-solving and automation.
Evaluation & Safety – Test, refine, and guard your prompts for accuracy, consistency, and ethical alignment.
