Prompt Engineering

Best Prompt Engineering Training Institute. Enroll on Course to Become Professional in Prompt Engineering!

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Key Highlights

Limited Students Batch
Personalised Attention
Highly Qualified Teachers
Flexible Batch Timings
Interactive Learning
Live Projects
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Course Highlights

Prompt Engineering Course with Job Placement


As programming languages continue to evolve, prompt engineering has emerged as a crucial skill, especially with the rise of artificial intelligence and large language models (LLMs) like GPT. It's a field that focuses on crafting effective prompts to generate desired outcomes in AI models, and it is rapidly gaining importance across various industries. From natural language processing (NLP) to content generation, prompt engineering powers modern applications such as chatbots, virtual assistants, and creative writing tools.

The Prompt Engineering Course at TOPS Technologies begins with the basics and gradually covers more advanced concepts. This course is designed for both college students and professionals who want to master AI-powered tools and LLMs. Students learn from industry experts with years of experience working on real-world projects. The curriculum offers hands-on training that includes live project work, ensuring that learners can apply what they’ve learned in practical scenarios.

What is Prompt Engineering and Why Use It?


Prompt engineering is the art and science of designing effective prompts that AI models can interpret to perform tasks. The practice involves tuning prompts to get optimal results from AI models, whether it’s generating human-like text, solving problems, or answering complex queries.

As the demand for AI capabilities increases, so does the need for professionals skilled in crafting prompts that maximize the effectiveness of these systems. Prompt engineering is particularly useful in various fields, such as content creation, customer support, machine learning, and automation. It allows developers and AI specialists to utilize models more efficiently, making complex tasks easier and faster to execute.

With AI applications expanding into areas like image generation, voice recognition, and predictive analytics, understanding how to communicate effectively with AI models is becoming essential.

Why Choose a Prompt Engineering Course?


As AI tools and models become integral parts of industries like tech, healthcare, education, and entertainment, prompt engineering has emerged as a skill that opens up various career opportunities. By learning how to create optimized prompts, you will have the flexibility to work in multiple sectors such as AI development, data science, software engineering, and machine learning.

TOPS Technologies provides one of the most comprehensive Prompt Engineering Courses in India. Our industry experts guide you through the nuances of prompt tuning, application of LLMs like GPT, and practical use cases. The course includes placement assistance, ensuring that you can land a lucrative role in AI or related fields.

The Benefits of the Prompt Engineering Course


Prompt engineering is a new frontier in AI, and mastering this skill comes with many advantages:

Easily Usable Skills

Prompt engineering requires logical thinking and creativity, which makes it easy to pick up for beginners. Since AI models are becoming more accessible, even those with minimal programming experience can learn how to craft effective prompts.

Various Applications

Prompt engineering isn't limited to one field. It applies to multiple domains such as healthcare, finance, marketing, and customer service. As AI becomes more widespread, professionals who can tailor AI systems for specific needs will be highly sought after.

Improves Model Performance

Whether you’re using AI for automating tasks, analyzing data, or creating content, a perfectly crafted prompt will ensure the best output.

GUI Support for AI Models

AI tools often come with user-friendly graphical user interfaces (GUIs) that make working with them even easier. From APIs to cloud-based tools, prompt engineering is often the key to unlocking the full potential of these systems.

Highly Compatible

The principles of prompt engineering can be applied across different AI models, making it a highly versatile skill. Whether you’re working with GPT models, image generators, or speech-to-text tools, learning prompt engineering will allow you to work seamlessly across various AI technologies.


Significant Jobs Associated with Prompt Engineering and Salary Information


The demand for prompt engineering is growing as industries adopt AI models for their operations. Here are some roles you can pursue after completing this course:

AI Prompt Engineer: Prompt engineers are responsible for creating effective prompts to optimize AI model outputs. The average salary for an AI Prompt Engineer can go up to ₹12 Lacs annually.

Machine Learning Engineer: Machine Learning Engineers work with AI models and use prompt engineering to fine-tune models for better results. This role offers salaries up to ₹20 Lacs per annum.

AI Researcher: AI researchers develop new methods to improve AI models. A significant part of their work involves crafting and testing prompts for advanced tasks. This role can earn up to ₹16 Lacs annually.

Data Scientist: Data scientists use AI models to extract insights from large data sets. By using prompt engineering techniques, they can automate processes and make more accurate predictions. This role offers salaries up to ₹26 Lakhs a year.

How Can TOPS Technologies Help Drive Your Career Forward?


TOPS Technologies provides a comprehensive Prompt Engineering Course that covers the foundational principles of AI models, prompt design, and practical use cases. You will gain hands-on experience working with leading AI platforms, building your skills for a future-ready career.

Here's what you can expect with our Prompt Engineering Course:

  • A clear introduction to AI models and how to design prompts for them.
  • Hands-on sessions led by experts in the AI field.
  • Real-world projects that allow you to apply what you’ve learned.
  • Industry-recognized certifications to validate your skills.
  • Placement assistance to help you secure your first job in AI.

Who Can Enroll in Our Prompt Engineering Course?


  • Individuals who can enroll in this  Prompt Engineering Course are the ones who want to:
  • Learn about AI and prompt engineering from scratch.
  • Expand their skills in AI development.
  • Gain practical experience with cutting-edge AI models like GPT.
  • Switch careers into AI, machine learning, or data science.

Enroll in Our Prompt Engineering Course & Start Exploring AI!


Discover the exciting opportunities in AI and machine learning with our Prompt Engineering Course. Whether you aim to build AI systems or apply them in your career, our course will set you up for success.

For more information about our Prompt Engineering Course, visit your nearest TOPS Technologies center or contact us at inquiry@tops-int.com or call +91 – 7622011173 for a free demo. We offer the best Prompt Engineering classes in Rajkot, Ahmedabad, Vadodara, Gandhinagar, Nagpur, and Surat.









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Course Curriculum

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  • What is GenAI?
  • Comparison with traditional AI/ML
  • Applications & Examples
  • LLM and the Transformers Architecture
  • Key concepts & Terminology

  • Open source & Closed source LLMs
  • Tools to get started with LLMs
  • Introduction to Hugging Face & Google Collab
  • Introduction to LangChain Framework
  • Running Your First LLM

  • Introduction & Basics of Prompting
  • Basic Examples
  • Prompting Techniques
  • Tips for Designing prompts
  • Using Prompt Templates in LangChain

  • Introduction to RAG & it’s components
  • Benefits & use-cases of RAG
  • Gettings started with RAG using LangChain
  • Text extraction & creating vectors embeddings from Documents
  • Storing & retrieving vectors from Vector Database

  • Setting up RAG pipeline with LLM
  • Creating prompt template for RAG
  • Loading the knowledge context into Prompt
  • Executing the RAG pipeline for text summarization

  • Why fine tune a model?
  • Concepts of fine-tuning pre-trained models
  • Applications of fine tuned LLM models
  • Fine-tuning techniques
  • Model selection and Data preparation

  • Tokenize the dataset for training with Transformers library
  • Setting up Training structure with Transformers library
  • Incorporating evaluation method
  • Hyperparameter tuning & Training
  • LLM Fine-Tuning Pitfalls

  • Exploring Generative AI applications in various industries
  • Exploring Generative AI for creative tasks (image generation)
  • Case studies of successful Generative AI implementations
  • Exploring UI libraries - Streamlit & Gradio

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Course Key Features

  1. Comprehensive Curriculum:

    • Foundational Concepts: Introduction to generative AI, neural networks, and deep learning.
    • Advanced Models: Detailed study of GANs (Generative Adversarial Networks), VAEs (Variational Autoencoders), and autoregressive models.
    • Practical Applications: Real-world use cases in image generation, text synthesis, and more.
  2. Hands-on Projects:

    • Model Implementation: Building and training generative models using frameworks like TensorFlow and PyTorch.
    • Capstone Projects: End-to-end projects that integrate course learnings into practical applications.
  3. Expert Instruction:

    • Industry Leaders: Courses taught by AI pioneers and experts in the field.
    • Guest Lectures: Insights from professionals working on cutting-edge generative AI technologies.
  4. Interactive Learning:

    • Quizzes and Assessments: Regular quizzes to test understanding and track progress.
    • Discussion Forums: Platforms for peer interaction and instructor support.
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Skills Covered

  • Prompt Engineering
  • Precision and Control
  • Efficiency and Clarity
  • Addressing Bias
  • Fine-tuning
  • Reduced Training Time
  • Adaptability
  • Analogy in Finetuning
  • RAG Building
  • Power Up Your AI with Real-World Info
  • Boost Accuracy and Relevance
  • LLMOps
  • Optimizing Performance
  • Data Management
  • Bias Detection and Mitigation
  • Quantization
  • AI App Building
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Job Roles

  • Prompt Engineer
  • Generative AI Engineer
  • AI/ML Engineer
  • Data Scientist
  • AI Researcher
  • NLP Engineer
  • AI Chatbot Developer
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