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Prompt Engineer
Blog
August 28, 2024

What is Prompt Engineering?

Artificial Intelligence (AI) has rapidly evolved over the past few decades, revolutionizing the way machines interact with...
Blog
Blog
August 25, 2024

How AI Evolved to Make Prompt Engineering Possible

Artificial Intelligence (AI) has a rich history that dates back to the mid-20th century. The concept of...

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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