ML, AI, Generative AI Prompt Engineering Training

Instructor-Led Training Parameters

Course Highlights

  • Instructor-led Online Training
  • Project Based Learning
  • Certified & Experienced Trainers
  • Course Completion Certificate
  • Lifetime e-Learning Access
  • 24x7 After Training Support

ML, AI, Generative AI Prompt Engineering Training Course Overview

The ML, AI, and Generative AI Prompt Engineering Training by Multisoft Systems is a specialized program designed to equip learners with the skills required to interact effectively with AI models through prompt design. As AI technologies like ChatGPT, Bard, and other LLMs become integral to various industries, mastering prompt engineering is essential for maximizing their potential. This course provides a comprehensive understanding of how prompts influence model behavior, response quality, and task performance in both traditional and generative AI systems. Participants will learn the principles of machine learning and artificial intelligence, followed by a deep dive into generative AI, including text, image, and code generation. The course emphasizes crafting structured prompts, prompt tuning, and iterative refinement to achieve desired outcomes. Practical use cases across domains such as customer service, content creation, programming, and data analysis will be covered.

Ideal for developers, data scientists, content creators, and AI enthusiasts, this training bridges theoretical knowledge with real-world applications. Taught by industry experts, the course includes hands-on labs, assignments, and project work to build confidence in leveraging prompt engineering for enterprise and creative solutions. Stay ahead in the AI revolution with this future-ready training program.

Instructor-led Training Live Online Classes

Suitable batches for you

May, 2025 Weekdays Mon-Fri Enquire Now
Weekend Sat-Sun Enquire Now
Jun, 2025 Weekdays Mon-Fri Enquire Now
Weekend Sat-Sun Enquire Now

Share details to upskills your team



Build Your Own Customize Schedule



ML, AI, Generative AI Prompt Engineering Training Course curriculum

Curriculum Designed by Experts

The ML, AI, and Generative AI Prompt Engineering Training by Multisoft Systems is a specialized program designed to equip learners with the skills required to interact effectively with AI models through prompt design. As AI technologies like ChatGPT, Bard, and other LLMs become integral to various industries, mastering prompt engineering is essential for maximizing their potential. This course provides a comprehensive understanding of how prompts influence model behavior, response quality, and task performance in both traditional and generative AI systems. Participants will learn the principles of machine learning and artificial intelligence, followed by a deep dive into generative AI, including text, image, and code generation. The course emphasizes crafting structured prompts, prompt tuning, and iterative refinement to achieve desired outcomes. Practical use cases across domains such as customer service, content creation, programming, and data analysis will be covered.

Ideal for developers, data scientists, content creators, and AI enthusiasts, this training bridges theoretical knowledge with real-world applications. Taught by industry experts, the course includes hands-on labs, assignments, and project work to build confidence in leveraging prompt engineering for enterprise and creative solutions. Stay ahead in the AI revolution with this future-ready training program.

  • Understand the fundamentals of Machine Learning, Artificial Intelligence, and Generative AI models.
  • Explore the architecture and working principles of Large Language Models (LLMs) like GPT and BERT.
  • Learn the art of crafting effective prompts to guide AI responses accurately.
  • Apply prompt engineering techniques for tasks like text generation, summarization, translation, and question answering.
  • Utilize zero-shot, one-shot, and few-shot learning methods in prompt design.
  • Optimize and refine prompts to improve model output quality and relevance.
  • Implement prompt tuning and chaining techniques for advanced use cases.

Course Prerequisite

  • Basic understanding of Artificial Intelligence and Machine Learning concepts
  • Familiarity with programming languages such as Python
  • General knowledge of how AI models work, especially Large Language Models (LLMs)

Course Target Audience

  • AI/ML Engineers
  • Data Scientists
  • Software Developers
  • Automation Engineers
  • Business Analysts
  • Research Scholars
  • Product Managers
  • Digital Marketing Professionals
  • IT Consultants
  • AI Enthusiasts and Hobbyists

Course Content

  • AI Vs ML Vs DL Vs DS
  • Types Of ML Techniques
  • Supervised vs unsupervised and semi supervised and reinforcement learning
  • Introduction to Artificial Intelligence
  • Applications of Artificial Intelligence o AI Project Life Cycle
  • AI Domains and Models o AI Ethics and Bias

Download Curriculum DOWNLOAD CURRICULUM

  • Introduction to Machine Learning
  • Data Processing for Machine Learning
  • Algorithms for Machine Learning
  • Supervised (Regression and Classification) o Linear Regression
  • Logistic Regression o kNN
  • Decision Tree and Random Forest o Support Vector Machines
  • Naive Bayes

Download Curriculum DOWNLOAD CURRICULUM

  • Unsupervised (Clustering, Dimensionality Reduction) o K Means Clustering
  • Hierarchical Clustering

Download Curriculum DOWNLOAD CURRICULUM

  • Case Study
  • Deep Learning Overview
  • The Brain vs Neuron
  • Introduction to Deep Learning
  • Introduction to Artificial Neural Networks
  • The Detailed ANN
  • The Activation Functions
  • How do ANNs work & learn?

Download Curriculum DOWNLOAD CURRICULUM

  • Convolutional Operation
  • Relu Layers
  • What is Pooling vs Flattening?
  • Full Connection
  • SoftMax vs Cross Entropy
  • Building a real world convolutional neural network for image classification

Download Curriculum DOWNLOAD CURRICULUM

  • Recurrent neural networks rnn
  • LSTMs understanding LSTMs
  • Long short-term memory neural networks lstm in python

Download Curriculum DOWNLOAD CURRICULUM

  • Restricted Boltzmann Machine
  • Applications of RBM
  • Introduction to Autoencoders
  • Autoencoders applications
  • Understanding Autoencoders
  • Building a Autoencoder model

Download Curriculum DOWNLOAD CURRICULUM

  • Introducing Tensorflow
  • Introducing Tensorflow
  • Why Tensorflow?
  • What is TensorFlow?
  • Tensorflow as an Interface
  • Tensorflow as an environment
  • Tensors
  • Computation Graph
  • Installing Tensorflow
  • Tensorflow training
  • Prepare Data
  • Tensor types
  • Loss and Optimization
  • Running TensorFlow programs

Download Curriculum DOWNLOAD CURRICULUM

  • Tensors
  • Tensorflow data types
  • CPU vs GPU vs TPU
  • Tensorflow methods
  • Introduction to Neural Networks
  • Neural Network Architecture
  • Linear Regression example revisited
  • The Neuron
  • Neural Network Layers
  • The MNIST Dataset
  • Coding MNIST NN

Download Curriculum DOWNLOAD CURRICULUM

  • Deepening the network
  • Images and Pixels
  • How humans recognise images?
  • Convolutional Neural Networks
  • ConvNet Architecture
  • Overfitting and Regularization
  • Max Pooling and ReLU activations
  • Dropout
  • Strides and Zero Padding
  • Coding Deep ConvNets demo
  • Debugging Neural Networks
  • Visualising NN using Tensorflow
  • Tensorboard

Download Curriculum DOWNLOAD CURRICULUM

  • What is Generative AI?
  • Why are Generative models required?
  • Understanding generative models and their significance
  • Generative AI v/s Discriminative Models
  • Recent advancements and research in generative AI
  • Generative AI end to end project lifecycle
  • Key applications of generative models

Download Curriculum DOWNLOAD CURRICULUM

  • Introduction to OpenAI
  • What is OpenAI API and how to generate OpenAI API key?
  • Installation of OpenAI package
  • Experiment in the OpenAI playground
  • How to setup your local development environment?

Download Curriculum DOWNLOAD CURRICULUM

  • Customising Prompts for Specific Use Cases
  • Fine-tuning Language Models for Optimal Output
  • Managing Prompt Complexity and Length
  • Enhancing Control and Diversity in Generated Text

Download Curriculum DOWNLOAD CURRICULUM

  • Importance of Interpretability in AI-Generated Outputs
  • Techniques for Visualising and Understanding Model Responses
  • Explainable AI in Prompt Engineering
  • Addressing Bias and Fairness in AI-Generated Text

Download Curriculum DOWNLOAD CURRICULUM

  • Industry-Specific Applications of Generative AI
  • Real-world Examples of Prompt Engineering Success Stories
  • Identifying Opportunities for AI-Prompt Integration
  • Challenges and Limitations in Deploying Generative AI Solutions

Download Curriculum DOWNLOAD CURRICULUM

  • Testing and Quality Control for AI-Generated Text
  • Human-in-the-Loop Approaches to Validation
  • Compliance and Regulatory Considerations
  • Benchmarking and Performance Metrics for Prompted AI Models

Download Curriculum DOWNLOAD CURRICULUM

  • Introduction to LlamaIndex
  • Difference between laingchain and LlamaIndex
  • Difference between Llama and LlamaIndex
  • Setup of LlamaIndex in our local env
  • How to use LLMs with LlamaIndex?
  • Exploring Llamahub
  • How to connect with external Data?

Download Curriculum DOWNLOAD CURRICULUM

  • Project#1: Loan Defaulter Prediction

Download Curriculum DOWNLOAD CURRICULUM

  • Project#1: Medical Chatbot Project with Llama 2, Pinecone, Lang Chain & Deployment AWS

Download Curriculum DOWNLOAD CURRICULUM

  • Project#2: Source Code Analysis with Lang Chain, OpenAI and Chroma DB & Deployment AWS

Download Curriculum DOWNLOAD CURRICULUM

Request for Enquiry

assessment_img

ML, AI, Generative AI Prompt Engineering Training (MCQ) Assessment

This assessment tests understanding of course content through MCQ and short answers, analytical thinking, problem-solving abilities, and effective communication of ideas. Some Multisoft Assessment Features :

  • User-friendly interface for easy navigation
  • Secure login and authentication measures to protect data
  • Automated scoring and grading to save time
  • Time limits and countdown timers to manage duration.
Try It Now

ML, AI, Generative AI Prompt Engineering Corporate Training

Employee training and development programs are essential to the success of businesses worldwide. With our best-in-class corporate trainings you can enhance employee productivity and increase efficiency of your organization. Created by global subject matter experts, we offer highest quality content that are tailored to match your company’s learning goals and budget.


500+
Global Clients
4.5 Client Satisfaction
Explore More

Customized Training

Be it schedule, duration or course material, you can entirely customize the trainings depending on the learning requirements

Expert
Mentors

Be it schedule, duration or course material, you can entirely customize the trainings depending on the learning requirements

360º Learning Solution

Be it schedule, duration or course material, you can entirely customize the trainings depending on the learning requirements

Learning Assessment

Be it schedule, duration or course material, you can entirely customize the trainings depending on the learning requirements

Certification Training Achievements: Recognizing Professional Expertise

Multisoft Systems is the “one-top learning platform” for everyone. Get trained with certified industry experts and receive a globally-recognized training certificate. Some Multisoft Training Certificate Features :

  • Globally recognized certificate
  • Course ID & Course Name
  • Certificate with Date of Issuance
  • Name and Digital Signature of the Awardee
Request for Certificate

ML, AI, Generative AI Prompt Engineering Training FAQ's

Prompt Engineering is the practice of designing inputs (prompts) to guide AI models, especially large language models (LLMs), to generate accurate and relevant outputs for specific tasks.

Basic knowledge of Python is helpful but not mandatory. The course focuses more on prompt techniques and understanding model behavior.

The training may include hands-on exercises using tools like OpenAI’s GPT, Google’s Bard, Hugging Face Transformers, and Python-based environments such as Jupyter Notebooks.

Yes, the course is designed to accommodate both beginners with basic AI knowledge and experienced professionals looking to specialize in prompt engineering.

To contact Multisoft Systems you can mail us on info@multisoftsystems.com or can call for course enquiry on this number +91 9810306956

What Attendees are Saying

Our clients love working with us! They appreciate our expertise, excellent communication, and exceptional results. Trustworthy partners for business success.

Share Feedback
  WhatsApp Chat

+91-9810-306-956

Available 24x7 for your queries