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Blog
Blog
August 22, 2024

Mastering the Art of Writing Effective Prompts

Mastering the art of writing effective prompts is essential for maximizing the potential of AI and Large...
Blog
Blog
August 12, 2024

Beyond the Basics: Advanced Techniques in Prompt Engineering

Advanced techniques in prompt engineering involve sophisticated strategies to fine-tune AI responses. This includes chaining prompts to...
Blog
Blog
August 10, 2024

Breaking Down Prompts: The Core Concepts You Need to Know

In the context of AI and natural language processing (NLP), a prompt is a specific input or...
Blog
Blog
August 3, 2024

From Chatbots to Content Creation: Real-World Applications of Prompt Engineering

Prompt engineering has become a critical skill across a wide range of industries, from customer service to...
Blog
Blog
August 1, 2024

How to Build a Professional Portfolio in Prompt Engineering

As the field of prompt engineering continues to grow, having a well-organized and comprehensive portfolio is essential...
Blog
Blog
July 20, 2024

How to Integrate Prompt Engineering with AI Toolchains

AI toolchains refer to the interconnected tools, frameworks, and processes used to develop, deploy, and manage AI...
Blog
Blog
July 10, 2024

Navigating Ethics in Prompt Engineering: What You Need to Know

As AI continues to evolve, ethical considerations have become increasingly important, especially in the context of prompt...
Blog
Blog
July 5, 2024

Your First Steps in Prompt Engineering: A Practical Guide

Welcome to the hands-on tutorial for prompt engineering! This guide is designed to help you get started...
Blog
Blog
June 30, 2024

Case Studies in Prompt Engineering: Learning from the Best

Prompt engineering is not just a theoretical concept; it has practical applications that can significantly impact various...
Blog
Blog
June 15, 2024

What’s Next for Prompt Engineering? Emerging Trends and Predictions

Prompt engineering has rapidly become a crucial aspect of AI development, enabling more sophisticated and user-friendly interactions...

Recent Posts

  • What is Prompt Engineering?
  • How AI Evolved to Make Prompt Engineering Possible
  • Mastering the Art of Writing Effective Prompts
  • Beyond the Basics: Advanced Techniques in Prompt Engineering
  • Breaking Down Prompts: The Core Concepts You Need to Know

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John
John

Weaving Words into Success

Categories
  • Blog (12)
Recent Posts
  • Prompt Engineer
    What is Prompt Engineering?
    August 28, 2024
  • How AI Evolved to Make Prompt Engineering Possible
    August 25, 2024
  • Mastering the Art of Writing Effective Prompts
    August 22, 2024

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Essentials Generative AI, Prompt Engineering & ChatGPT

Module -1

$ $ 3 Weeks
  • Introduction to Generative AI Models
  • Explainable AI
  • Prompt Engineering
  • ChatGPT
  • Fine-tuning ChatGPT
  • Ethical Considerations in Generative AI Models & ChatGPT
  • The Future of Generative AI
  • Deploying and Scaling ChatGPT
  • Security and Privacy Considerations
  • Monitoring and Debugging ChatGPT
  • Maintaining ChatGPT

Data Structure and Algorithms with Python

Module-3

3 . 4 Weeks
  • Introduction to Data Structures and Algorithms
  • Arrays and Strings
  • Linked Lists (Singly and Doubly Linked Lists)
  • Stacks and Queues
  • Recursion and Backtracking
  • Trees (Binary Trees, Binary Search Trees, AVL Trees)
  • Graphs (Representation, Traversal, and Algorithms like BFS, DFS)
  • Hashing and Hash Tables
  • Searching Algorithms (Linear Search, Binary Search)
  • Sorting Algorithms (Bubble Sort, Quick Sort, Merge Sort, Heap Sort)
  • Dynamic Programming (Basics and Applications)
  • Greedy Algorithms
  • Divide and Conquer Techniques
  • Advanced Data Structures (Heaps, Tries, Disjoint Sets)
  • Time and Space Complexity Analysis

Applied Data Science with Python

Module-4

. . 4 Weeks
  • Introduction to Data Science
  • Working with NumPy
  • Data Manipulation with Pandas
  • Linear Algebra for Data Science
  • Fundamentals of Statistics
  • Probability Distributions
  • Advanced Statistical Concepts
  • Data Analysis Techniques
  • Data Wrangling and Preprocessing
  • Data Visualization

Machine Learning

Module-5

. . 4 Weeks
  • Machine Learning Fundamentals
  • Supervised Learning
  • Regression Models and Applications
  • Classification Models and Applications
  • Unsupervised Learning
  • Ensemble Learning
  • Recommendation Systems

Deep Learning

Module-6

3 . 3 Weeks
  • Introduction to AI and Deep Learning
  • Artificial Neural Networks (ANN)
  • Deep Neural Networks (DNN)
  • Optimization and Hyperparameter Tuning
  • Convolutional Neural Networks (CNN)
  • Recurrent Neural Networks (RNN)
  • Transformer Models for NLP
  • Minimizing the Error Function with Gradient Descent
  • Autoencoders
  • Training Neural Networks
  • Advanced Topics in Deep Learning

Build Your Own Agent with the Help of LLMs

Module-7

3 . 4 Weeks
  • Foundations of Large Language
  • Models (LLMs)
  • Setting Up Your Development
  • Environment
  • Core Concepts of LLM
  • Introduction to Inteligent Agents
  • Building Basic LLM Agents
  • Advanced Agent Features
  • Integrating Agents with APIs
  • Reinforcement Learning for Agents
  • AI Agents Market
  • Project: Custom Agent Development
  • Deployment and Scalability
  • Ethics and Bias in AI Agents

Programming Refreshers – Python

Module-2

. . 4 Weeks
  • Fundamentals of Programming
  • Introduction to Python Programming
  • Python Variables and Data Types Python
  • Operators Conditional Statements in Python Loops in Python
  • Python Functions Object-Oriented Programming Concepts with Python
  • Exception Handling in Python
  • Threading in Python
  • Regular Expressions in Python
  • Logging in Python
  • File Handling in Python

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