PROMPT ENGINEERING COURSE IN HYDERABAD
with
100% Placement Assistance
- Best course to Prompting
- Job oriented Training
- Life Time LMS Access
- Certification Support
- Resume creation support
- Expert Trainers with 20+ years Exp
- Mock Interviews
- Interview Questions
Batch Details
Prompt Engineering Training
| Trainer Name | Ms. Madhu, Mr. Prasad |
| Trainer Experience | 20+ Years |
| Course Duration | 3 Months |
| Timings | Monday to Friday (Morning & Evening) |
| Next Batch Date |
23th DECEMBER 2024 (07:00 AM IST) Ofline 23th DECEMBER 2024 (7:00 AM IST) Online |
| Training Modes | Class Room Training & Online Training |
| Call Us at | +91 98824 98844 |
| Mail Us at | azuretrainings.in@gmail.com |
| Demo Class Details | Get more details about Demo Class |
Curriculum
Prompt Engineering Course
- 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.
- 10.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.
- 15.difference between NLP and LLM
- 16.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.
- Summary of this module.
- What are prerequisites to learn prompt engineering and generative AI?
- python programming fundamentals
- python numpy essentials for AI, GenAI
- python pandas essentials for AI, GenAI
- What is a model in Machine Learning?
- Types of Machine Learning Models.
- -> predictive models
- -> forecasting models
- -> recommendation models.
- Python Libraries for machine learning
- difference between statistical approach and Machine Learning approach.
- Building a predictive model with Python numpy
- -> regression model .
- -> classification model
- Building a predictive model with Python-scikit learn
- Building a classification model with python numpy
- Building a classification model with python-scikit learn
- sentiment analysis with nlp and ml (python)
- sentiment analysis with nlp and DL (python)
- sentiment analysis with Python-keras
- how to evaluate model accuracy and best strategies.
- Building unsupervised model (K-means)
- summary of this module.
- chatGpt, chatGpt models and Large Language models (LLMs)
- LLMs and Neural networks and Deep Learning
- Introduction to ChatGpt API and Open AI
- Understanding Concept of ChatGpt Tokens and Temperature
- What is Word Prediction(next word)
- Model Fine Tuning In and Moderation
- Introduction to Dall-E
- what are different APIs available and Introduction
- ->Open AI
- -> LLama
- -> LangChain
- -> HuggingFace
- chatGpt’s Open AI limitations .
- What can LangChain additionally do ?
- more on prompt engineering
- Prompt Engineering: What & Why?
- Prompt Engineering & ChatGPT Custom Instructions
- The Core Elements Of A Good Prompt
- It’s a Chat! Use it!
- Which Context Should You Add?
- task and Solution
- Zero-, One- & Few-Shot Prompting
- Using Output Templates
- Providing Hints To ChatGPT
- Separating Instructions From Content
- Ask-Before-Answer Prompting
- Perspective Prompting
- Contextual Prompting
- Emotional Prompting
- Laddering Prompting
- Using ChatGPT For Prompting
- Find Out Which Information Is Missing
- Self-evaluative Prompting
- ChatGPT-powered Problem Splitting
- Let ChatGPT Share Its Thought Process
- Reversing Roles
- More Prompts & Finding Prompt Inspirations
- Super Prompts Like CAN & DAN
- Module Summary
- prompt to Text Content Generation with Open AI (chatbot api)
- prompt to Text Content Generation with Open AI and LangChain
- prompt to Text Content Generation with HuggingFace and LangChain
- prompt to Image Generation with Open AI (dall-e) and LangChain
- prompt to Audio Generation with Open AI and LangChain.
- prompt to Video Generation with Open AI and LangChain.
- special use cases with LangChain.
- Implementation of custom chatbots with Open AI and LangChain.
- Fine tuning models.
- Introduction to DevOps, MLOps, LLMOps.
- Deployment of your application using LLMOps.
Key Points
Prompt Engineering Course In Hyderabad
- Natural Language Understanding: Develop the ability to understand and work with human language, enabling you to create systems that can process and interpret text effectively.
- Advanced Language Models: Gain proficiency in utilizing state-of-the-art language models like GPT (Generative Pre-trained Transformer) for various applications such as content generation, summarization, and more.
- Text Generation and Summarization: Acquire skills in generating human-like text and summarizing large volumes of information, which is valuable for content creation, news aggregation, and data analysis.
- Enhanced Communication Systems: Learn to build systems that can improve human-computer interactions, including chatbots, virtual assistants, and other conversational interfaces.
- Efficient Data Processing: Develop techniques for processing and analyzing large datasets of text, extracting meaningful information, and gaining insights from unstructured data.
- Sentiment Analysis: Understand how to analyze and interpret sentiment in text, which can be applied in areas such as social media monitoring, customer feedback analysis, and market research.
- Personalization and Recommendation Systems: Acquire the skills to build systems that can personalize content and make recommendations based on user preferences, enhancing user experience in various applications.
- Automation of Repetitive Tasks: Use prompt engineering techniques to automate repetitive and time-consuming tasks related to text processing, freeing up valuable human resources for more complex endeavors.
- Innovation in Creative Writing: Explore the creative potential of language models to generate innovative and unique content, whether it's in the realm of literature, marketing copy, or other creative writing applications.
- Career Opportunities: The demand for professionals with expertise in prompt engineering is growing across various industries. Acquiring these skills can open up new and exciting career opportunities in fields like artificial intelligence, natural language processing, and machine learning.
- Adaptability and Continual Learning: Develop a mindset of adaptability and continual learning, as the field of prompt engineering is dynamic, with new models and techniques emerging regularly. This skill is valuable in staying current and relevant in the ever-evolving tech landscape.
About
Prompt Engineering Course in Hyderabad
ABOUT THE PROMPT ENGINEERING TRAINING INSTITUTE HYDERABAD
Welcome to the Prompt Engineering Course in Hyderabad, where the fusion of education and innovation takes center stage! Immerse yourself in a dynamic learning experience that propels you into the world of cutting-edge prompt engineering. Join us on a journey of discovery and skill development, where your potential meets the forefront of technological advancement in Hyderabad!”
ABOUT THE PROMPT ENGINEERING COURSE
Prompt Engineering” could potentially refer to the development or creation of prompts in various contexts, such as programming, natural language processing, or artificial intelligence. It’s a transformative step toward a rewarding and impactful career in the rapidly advancing field of artificial intelligence.
Introducing our cutting-edge Prompt Engineering Course in Hyderabad, where innovation meets education! Elevate your skills in crafting effective prompts for various applications, from artificial intelligence to programming.
Join our dynamic program, where positive learning environments and hands-on experiences converge to shape your expertise. Unleash your potential, as we guide you towards mastering the art of prompt engineering, unlocking endless possibilities for success in Hyderabad’s thriving tech landscape!”
INTRO TO THE COURSE AND THE INSTITUTE
We are the leading institute for Prompt Engineering course in Hyderabad. We are undeniably a best-in-class choice for those aspiring to excel in the dynamic realm of artificial intelligence.
This comprehensive program not only offers the best certification course in prompt Engineering but also promises a future with tremendous opportunities. Opting for this course at our esteemed institute ensures access to cutting-edge curriculum, experienced instructors, and a collaborative learning environment.
The institute’s commitment to staying at the forefront of industry trends makes it the best choice for those seeking a good career choice for self-growth.
Beyond acquiring proficiency in prompt engineering, this course equips students with the skills and knowledge necessary to stay ahead in the ever-evolving technological landscape, making it a strategic move for anyone aiming to keep themselves in trend and thrive in their professional journey.
Modes
Prompt Engineering Course
ClassroomTraining
We offer classroom-based training in Prompt Engineering, specifically our prompt engineering course in hyderabad, taught by experts with real-world experience working with the platform. The class covers everything from basic techniques to advanced use cases.
Online Training
In addition to our live training options, we also offer the Prompt course through an e-learning platform. This means you will be able to work at your own pace with access to our live tutors should any questions or problems arise as you progress through the program.
Why Choose
Prompt Engineering Course In Hyderabad Program
Azure Training provides a learning environment where students can exchange their Prompt Engineering expertise and discuss theories for a shared knowledge base. We provide practical assignments and case studies to enhance your experience, making you job-ready!
Our Prompt course syllabus is constantly updated to keep pace with the emerging technologies in this field. We help you learn the latest technology so that you remain ahead of others.
We give our students ongoing support after they complete the Prompt course. Our dedicated team of experts has been mentoring individuals to develop their skills and help them achieve their career goals.
We have instructors who are well-experienced in delivering Prompt courses. They offer hands-on experience based on real scenarios and will guide you through the basics and advanced concepts.
Azure Trainings has designed the Prompt course syllabus to give students a solid foundation in core Prompt engineering concepts, as well as exposure to advanced topics. Our course covers the most up-to-date technology and gives students a full understanding of The applications by providing them with hands-on experience.
We offer a Prompt Engineering course, from basic to advanced levels of training for both beginners and professionals. Our Prompt classes are scheduled at flexible and standard timings making it convenient for our students to attend our batches no matter when they prefer. We offer training in both online and offline modes, as well as a self-paced video course.
Students Reviews
What do students say about our Prompt Engineering Course In Hyderabad
Certification Details
Certification in Prompt Engineering
By enrolling in this Prompt Engineering, you will receive access to real-world industry scenarios and projects that are directly tied to your success. Upon the successful completion of the training program students will be received an Prompt Engineering course completion certificate from Azure training.
There are various certifications are available –
- Natural Language Processing (NLP) Certifications
- Machine Learning Certifications
- Deep Learning Certifications
- Certified AI Engineer
Our Expertise
Who Should Learn Prompt Engineering Course?
- Professionals who want to switch their career in the field of Prompt Engineering Course
- Candidates who want to crack the Prompt Engineering course certification exam
- Solutions Architects
- IT Professionals
Advantages of Learning Prompt Engineering course
- Enhanced Natural Language Processing Skills: Gain a deep understanding of natural language processing (NLP) techniques, allowing you to work with and analyze human language data effectively.
- Improved Machine Learning Capabilities: Develop skills in machine learning algorithms and models, especially those applied to language-related tasks, which is crucial for prompt engineering.
- engineering. Effective Text Analysis: Learn how to process and analyze large volumes of text data, enabling you to extract meaningful insights, sentiments, and patterns from textual information.
- Customized Model Training: Acquire the ability to design and train models that are specifically tailored to understand and generate prompts based on unique requirements and contexts.
- Advanced Language Modeling: Explore advanced language models and techniques, including but not limited to transformers, recurrent neural networks, and other architectures commonly used in NLP.
- Optimized Information Retrieval: Learn strategies to retrieve relevant information from vast datasets, improving the efficiency of information retrieval systems.
- Enhanced User Experience: Apply prompt engineering principles to improve user interactions with natural language interfaces, chatbots, and other applications, leading to a more intuitive and user-friendly experience.
- Practical Application in AI Products: Acquire skills that are directly applicable to building AI-driven products, services, or applications that involve understanding and generating human-like language prompts.
- Increased Career Opportunities: The demand for professionals with expertise in prompt engineering and NLP is growing. Learning these skills can open up diverse career opportunities in areas such as data science, machine learning engineering, and AI research.
- Contribution to Open Source NLP Projects: Gain the knowledge and skills to contribute to open-source projects related to NLP and prompt engineering, fostering collaboration and community involvement.
- Understanding Ethical Considerations: Explore ethical considerations and challenges related to working with language data, ensuring responsible and fair application of prompt engineering techniques.
- Stay Current in a Rapidly Evolving Field: As prompt engineering is often at the forefront of technological advancements, learning these skills keeps you updated with the latest developments in the field of NLP and AI.
Job Opportunity in Prompt Engineering Course
- Prompt engineer
- Prompt engineer and librarian
- AI prompt engineer
- IT automation prompt engineer
- Sr. LLM (large language model) prompt engineer
- Generative AI prompt engineer
- Principle prompt engineer
- Prompt engineering manager
- AI prompt engineering developer lead
- Prompt/data engineer
- Prompt engineering side hustle expert
Approximate Pay scale in the field of Prompt Engineering Course
Entry-Level Positions (0-2 years of experience):
In the United States, entry-level positions in prompt engineering or related fields might have an annual salary ranging from $60,000 to $80,000 or more, depending on the location and company.
Mid-Level Positions (2-5 years of experience):
Mid-level professionals with a few years of experience in prompt engineering or NLP could earn salaries ranging from $80,000 to $120,000 or higher, depending on factors like expertise and the complexity of the tasks involved.
Senior-Level Positions (5+ years of experience):
Senior prompt engineers or NLP experts with substantial experience may command salaries upwards of $120,000 to $150,000 or more. Leadership roles or positions requiring significant expertise in specialized areas may command higher salaries.
Industry and Company Size:
Professionals working in industries with a high demand for NLP, such as technology, finance, or healthcare, may receive higher compensation. Larger companies and tech giants may also offer more competitive salaries and additional benefits.
Advanced Degrees and Certifications:
Individuals with advanced degrees (Master’s or Ph.D.) or relevant certifications in prompt engineering, NLP, or related fields may have an advantage in terms of salary negotiations.
Specialized Skills:
Professionals with expertise in specific areas of prompt engineering or NLP, such as fine-tuning large language models, may command higher salaries due to the specialized nature of their skills.
Completion of the Prompt Engineering Course what you will learn
- Foundations of NLP: Understand the fundamental concepts and principles of natural language processing, including tokenization, stemming, and part-of-speech tagging.
- Language Models: Explore different types of language models, with a focus on contemporary architectures such as transformers. Learn how these models are trained and used for various NLP tasks.
- Text Representation: Study techniques for representing textual data, including word embeddings, sentence embeddings, and other methods used to convert text into numerical forms for machine learning.
- Prompt Engineering Principles: Grasp the principles and techniques involved in prompt engineering, which involves designing prompts or queries to interact with language models for desired outputs.
- Model Fine-Tuning: Learn how to fine-tune pre-trained language models for specific tasks or domains, optimizing their performance for particular use cases.
- Text Generation: Gain skills in text generation using language models, including the generation of coherent and contextually relevant responses or completions.
- Transfer Learning in NLP: Understand the concept of transfer learning in the context of NLP and how pre-trained models can be leveraged for various downstream tasks.
- Ethical Considerations: Explore ethical considerations related to working with language data, privacy concerns, bias in models, and responsible AI practices.
- Practical Applications: Apply prompt engineering techniques to real-world scenarios, such as chatbot development, information retrieval, and content generation.
Prerequisites
Prompt Engineering Course
- Basic Programming Skills
- Understanding of Natural Language Processing (NLP)
- Data Analysis Skills
- Knowledge of Machine Learning
- Comfort with Command Line Interfaces (CLI)
- Critical Thinking and Problem-Solving
- Basic Understanding of Linguistics
- updated on new developments
FAQ’s
Prompt Engineering Frequently Asked Questions;
- Prompt engineering involves crafting effective queries or prompts to elicit desired responses from AI models. It’s crucial in AI as it influences model behavior and performance, shaping interactions between humans and machines.
- While prerequisites may vary, a basic understanding of programming, natural language processing, and machine learning concepts is beneficial. Check the specific course requirements for detailed information.
- The duration varies among programs. Typically, it can range from a few weeks for short courses to several months for more comprehensive programs.
- The training often covers programming languages such as Python, which is widely used in AI and natural language processing.
- The training is designed to be hands-on, and participants will have opportunities to work on practical projects, applying prompt engineering concepts to real-world scenarios.
- Yes, networking opportunities, such as guest lectures and industry seminars, are often incorporated into the training program.
- The curriculum is designed to align with industry demands, covering the latest trends and technologies in prompt engineering and AI.
- Many programs offer placement assistance, including resume building, interview preparation, and connecting participants with potential employers.
- The availability of part-time or online options depends on the institution. Some programs offer flexible learning formats to accommodate different schedules.
Ethical considerations in AI, including prompt design, bias mitigation, and responsible AI practices, are typically covered as part of the curriculum.
Projects may include designing prompts for specific AI applications, optimizing language models, and addressing real-world challenges in prompt engineering.
The training usually covers the tools and frameworks relevant to prompt engineering, and participants will receive guidance on their usage during the program.
