Prompt Engineering Online Training Course

Duration2 Months

Mode of TrainingOnline

LevelAdvanced

What is prompt engineering?

Prompt engineering is the process of refining prompts that a person can input into a generative artificial intelligence (AI) service to create text or images. Anyone can do this using natural language in generators.

What does a prompt engineer do?

Prompt engineering is the process where you guide generative artificial intelligence (generative AI) solutions to generate desired outputs.

Why is it important in generative AI?

Prompt engineering is important for AI engineers to create better services, such as chatbots that can handle complex tasks like customer service or generate legal contracts. Making sure that generative AI services like ChatGPT are able to deliver outputs requires engineers to build code and train the AI on extensive and accurate data.

Hands-on Learning:

Our training is centered around hands-on exercises and projects that simulate real-world scenarios, ensuring you can apply your learning effectively.

Live Instructor LED Online Training

Learn from Certified Experts

Best Practice for interview Preparation Techniques in Retail

100% Real-Time Projects & Use-cases

Latest Industry Trend Curriculum

Live Projects Implementation

Daily Recorded Videos

Prompt Engineering Course Curriculum

Introduction to prompt engineering

what is prompt
What is response Introduction to chat-gpt
Other AI tools similar to chat-gpt like bard, bing
What is Artificial Intelligence

Introduction to Machine learning

Types of Machine Learning
Supervised Learning
Unsupervised learning
Reinforcement Learning

Introduction to Neural Networks

Introduction to Deep Learning. Types of Deep learning
Discriminative models
Generative models
Introduction to NLP (Natural Language Processing). NLP with Machine Learning
NLP with Deep Learning
LLM (Large language Modeling) introduction
difference between NLP and LLM

Introduction to Generative AI

Generative AI use cases
Major tasks in prompt engineering as below
prompt to Text content
prompt to Image generation
prompt to Audio generation
prompt to video generation
prompt to task execution
Many tools available in the market, what does prompt engineer have to do ?
prompt engineering challenges

Introduction to Python

Basics of Python Programming

Installation and Setup
Installing Python and setting up a development environment (IDEs like PyCharm, VSCode, Jupyter Notebooks)
Syntax and Basic Constructs
Variables and data types (integers, floats, strings, booleans)
Basic input and output
Comments and documentation

Control Structures

Conditional Statements
if, elif, else
Loops
for, while
Loop control statements (break, continue, pass)

Functions

Defining Functions
Parameters and return values
Scope and Lifetime
Local and global variables
Lambda Functions
Anonymous functions

Data Structures and Algorithms

Core Data Structures
Lists

Creating, accessing, modifying, and iterating over lists
List comprehensions

Tuples

Creating and using tuples
Unpacking tuples

Sets

Creating and using sets
Set operations (union, intersection, difference)

Dictionaries

Creating and using dictionaries
Dictionary methods and comprehensions

Advanced Data Structures

Collections Module
defaultdict, Counter, OrderedDict, deque

File Handling and Data Processing File Operations

Reading and Writing Files

Opening, reading, writing, and closing files
Working with different file modes (r, w, a, rb, wb)

Working with CSV and JSON

Reading from and writing to CSV and JSON files using csv and json modules

Object-Oriented Programming (OOP) OOP Basics

Classes and Objects

Defining classes and creating objects
Instance variables and methods

Class Variables and Methods

Using class variables and class methods

Inheritance

Single and multiple inheritance

Polymorphism and Encapsulation

Method overriding
Private variables and name mangling

Modules and Packages Modular Programming

Creating and Importing Modules

Defining and using modules

Packages

Organizing code into packages
Importing from packages

Exception Handling and Debugging Error Handling

Exception Types

Common exceptions (ValueError, TypeError, etc.,)

Try, Except Blocks

Using try, except, else, and finally

Custom Exceptions

Creating and raising custom exception

Debugging Techniques

Using print statements and logging
Using debuggers (pdb)

Advanced Python Concepts Decorators and Context

Decorators

Function decorators
Class decorators

Context Managers

Using with statement
Creating custom context managers with enter and exit

Iterators and Generators

Iterators

Creating iterators using iter and next

Generators

Creating generators with yield
Generator expressions

Working with Libraries Scientific Computing

NumPy

Arrays and matrix operations

Pandas

DataFrames for data manipulation
Reading and writing data (CSV, Excel)

Data Visualization

Matplotlib

Plotting graphs and charts

Seaborn

Statistical data visualization

Testing Unit Testing

Unittest Framework

Writing and running tests
Test fixtures and test suites

Pytest

Advanced testing with pytest