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ML, AI, Generative AI Prompt Engineering Training

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Explore the world of Machine Learning, Artificial Intelligence, and Generative AI Prompt Engineering with Multisoft Virtual Academy. This training offers practical insights, real-world applications, and expert guidance to help you create smart AI solutions. Perfect for developers, analysts, and enthusiasts eager to excel in the AI-driven future.

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Instructor-led Training Live Online Classes

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31 May 2025	24	06:00 PM - 09:00 PM	Sat, Sun
01 Jun 2025	24	06:00 PM - 09:00 PM	Sat, Sun
07 Jun 2025	24	06:00 PM - 09:00 PM	Sat, Sun
08 Jun 2025	24	06:00 PM - 09:00 PM	Sat, Sun

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Instructor-led Training Live Online Classes

31 May 2025	24	06:00 PM - 09:00 PM	Sat, Sun
01 Jun 2025	24	06:00 PM - 09:00 PM	Sat, Sun
07 Jun 2025	24	06:00 PM - 09:00 PM	Sat, Sun
08 Jun 2025	24	06:00 PM - 09:00 PM	Sat, Sun

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Online Self Learning Courses are designed for self-directed training, allowing participants to begin at their convenience with structured training and review exercises to reinforce learning. You’ll learn through videos, PPTs and complete assignments, projects and other activities designed to enhance learning outcomes, all at times that are most convenient to you.

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Duration: 24 Hrs
Subject Matter Expert
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Free Online Assessments

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ML, AI, Generative AI Prompt Engineering Training Course Syllabus

Curriculum Designed by Experts

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The ML, AI, and Generative AI Prompt Engineering Training by Multisoft Virtual Academy is a comprehensive program designed to equip learners with the knowledge and skills to thrive in the rapidly evolving AI landscape. This course covers the foundational and advanced aspects of Machine Learning and Artificial Intelligence, leading into the emerging domain of Generative AI and prompt engineering. Participants will explore key ML and AI concepts, algorithms, model building, and deployment techniques. The program then delves into the world of Generative AI, covering models like GPT, DALL·E, and other LLMs (Large Language Models). Special emphasis is placed on prompt engineering — the art and science of designing inputs to get accurate, context-aware, and effective outputs from generative models. Through real-world projects, hands-on labs, and expert mentoring, learners will understand how to optimize prompts for various applications, including content creation, chatbots, data summarization, and more. The course is ideal for developers, data scientists, content creators, and AI enthusiasts who wish to harness the full potential of intelligent systems.

With flexible online delivery, this training empowers professionals to upskill and innovate using the latest advancements in AI and ML technologies. Start your AI journey today with Multisoft's industry-recognized certification.

ML, AI, Generative AI Prompt Engineering Training is a specialized course that teaches participants how to design effective prompts for AI models. It covers the fundamentals of Machine Learning, Artificial Intelligence, and Generative AI, enabling learners to guide model outputs, optimize interactions, and apply prompt strategies across real-world applications like content creation, automation, chatbots, and intelligent decision-making.

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

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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

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

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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?

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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

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

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

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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

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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

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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

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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

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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?

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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

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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

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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

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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

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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?

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Project#1: Loan Defaulter Prediction

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

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

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ML, AI, Generative AI Prompt Engineering Training Description

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.

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

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)

ML, AI, Generative AI Prompt Engineering Training Certification

Multisoft Virtual Academy provides a globally recognized training certificate to the participants, after successful completion of a training program. The training certificates are recognized and accepted across the world.

Multisoft Virtual Academy's training certificate comes with lifetime validity.

Aspirants can directly enroll for the desired course from the Book Now Button in the course page. You can also connect on Whatsapp at +91 8130666206 to talk with a training advisor. Multisoft Virtual Academy also offers customized training programs on a wide range of domains and skills.

All training programs offered by Multisoft Virtual Academy are delivered by certified industry experts, who have years of experience in the relevant domains. Multisoft Global Subject Matter Experts impart knowledge on a wide variety of training courses through one –on-one and corporate training sessions.

Multisoft Virtual Academy training certification can help participants stand out in the competitive job market. Since the training certificates are internationally accepted, participants can showcase their skills and knowledge to employers across the world.

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ML, AI, Generative AI Prompt Engineering Corporate Training Certification

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Recorded Training Session Videos
Free Access to Practice Tests

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After Training Support

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Project Based Learning
Learning based on real-life examples
Assignments and Practice Tests

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

Yes, Multisoft Virtual Academy provides an industry-recognized certificate upon successful completion of the training and assessments.

Absolutely. Prompt engineering skills are highly valuable for roles involving AI development, content generation, automation, chatbots, and intelligent decision-making systems.

You will explore platforms and tools such as Python, TensorFlow/PyTorch, OpenAI (GPT), Google Colab, Hugging Face, and others used in the AI ecosystem.

The training is instructor-led with flexible scheduling options to accommodate working professionals.

To contact Multisoft Virtual Academy you can mail us on enquiry@multisoftvirtualacademy.com or can call for course enquiry on this number +91 8130666206

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ML, AI, Generative AI Prompt Engineering Training

Start Date	No. of Hrs	Time (IST)	Day	Price
31 May 2025	24	06:00 PM - 09:00 PM	Sat, Sun	$ 550
01 Jun 2025	24	06:00 PM - 09:00 PM	Sat, Sun	$ 550
07 Jun 2025	24	06:00 PM - 09:00 PM	Sat, Sun	$ 550
08 Jun 2025	24	06:00 PM - 09:00 PM	Sat, Sun	$ 550

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ML, AI, Generative AI Prompt Engineering Training

Ready to Up-Skill yourself !

Instructor-led Training Live Online Classes

Suitable batches for you

$ 550

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Instructor-led Training Live Online Classes

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Course Highlights

Curriculum Designed by Experts

ML, AI, Generative AI Prompt Engineering Training Course Overview

Module 1: Introduction to ML

Module 2: Machine Learning – Supervised

Module 3: Machine Learning - Unsupervised

Module 4: Deep Learning & AI using Python

Module 5: Convolutional Neural Networks

Module 6: What are RNNs – Introduction to RNNs

Module 7: Restricted Boltzmann Machine (RBM) and Autoencoders

Module 8: Tensorflow with Python

Module 9: Building Neural Networks using Tensorflow

Module 10: Deep Learning using TensorFlow

Module 11: Introduction to Generative AI

Module 12: Guide to Open AI and it's Ready to use Models with Application

Module 13: Advanced Prompt Engineering Techniques

Module 14: Interpretability and Explainability

Module 15: Use Cases and Applications

Module 16: Quality Assurance and Validation

Module 17: Practical Guide to LlamaIndex with LLMs

Module 18: Machine Learning End to End Project

Module 19: GenAI End to End Project1

Module 20: GenAI End to End Project2

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