Master Prompt Engineering with LLMs — Earn Your Certification

Prompt Engineering Certification Course with LLM

Master Prompt Engineering with LLMs. Attend Our Live Virtual Class (LVC) program.

Master essential skills in Prompt Engineering, LLM optimization, and advanced AI model interaction through our Live Virtual Classes (LVC).
Learn from industry experts in one of our top-rated courses, designed to help you get in-demand AI and NLP skills used by professionals worldwide.
Work on real-world projects that simulate actual AI applications and prepare you for practical, enterprise-level challenges.
Join one of our popular certification training programs trusted by learners aiming for industry-recognized certifications in Generative AI and Large Language Models.
Strengthen your credentials and take a major step toward becoming a certified Generative AI Engineer with hands-on Prompt Engineering experience.
Benefit from competitive pricing on this Prompt Engineering with LLM Certification Training while receiving top-quality instruction that delivers exceptional value in AI education.

Take the next step in your AI career. Enroll now in our Live Virtual Class program and become a Prompt Engineering professional!

Prompt Engineering with LLMs Training Options

Online Self-Learning

Online self-learning courses are currently not available.

Please email [email protected] to enquire for more information.

Prompt Engineering with LLM Course Overview

Prompt Engineering with LLM Certification Live Virtual Class (LVC) Training

Embark on a transformative journey into the world of Large Language Models (LLMs) with our Prompt Engineering with LLMs course. This Live Virtual Class (LVC) program is designed to equip you with the essential skills needed to craft, optimize, and evaluate prompts for LLMs, enabling practical applications in Generative AI and advanced NLP workflows.

Through interactive, instructor-led sessions, you will gain hands-on experience with real-world projects, learning techniques used by professionals to build AI solutions for content generation, conversational AI, and intelligent systems. The program emphasizes best practices in prompt engineering, context management, and model optimization, ensuring you acquire in-demand skills highly valued in the AI industry.

Upon successful completion of the course and associated requirements, you will be awarded an industry-recognized certification as a Generative AI Engineer, validating your expertise and preparing you for advanced career opportunities in AI and Generative AI applications.

What You’ll Learn

Advanced Prompt Engineering Techniques: Design effective prompts, optimize context, and apply chain-of-thought and few-shot prompting methods.
Real-World Applications: Gain hands-on experience with projects simulating enterprise AI scenarios such as conversational agents, content generation, and LLM evaluation.
LLM Workflows and Optimization: Understand prompt testing, evaluation, deployment practices, performance tuning, and ethical AI considerations.
Generative AI Strategies: Master techniques to leverage LLMs effectively in business applications while ensuring accuracy, safety, and efficiency.
Portfolio-Building Projects: Strengthen your resume with practical experience and tangible project outcomes.

Who Should Attend

This course is ideal for you if you are:

An AI enthusiast or professional aiming to get in-demand skills in Prompt Engineering and LLMs.
A data scientist, machine learning engineer, or AI developer looking to advance expertise in Generative AI.
A software engineer or technical lead seeking to integrate LLMs into real-world applications.
A student or professional preparing for industry-recognized certifications and hands-on experience in LLMs.

Why Choose Our Course

Live Virtual Classes (LVC): Attend interactive, instructor-led sessions from anywhere, no travel required.
Top Rated Courses: Join one of our popular programs, trusted for quality, relevance, and practical application.
Hands-On Learning with Real-World Projects: Apply your skills to practical projects that reflect real enterprise AI challenges.
Expert Guidance: Learn directly from industry professionals who provide actionable insights and career advice.
Master Essential Skills: Develop advanced capabilities in prompt engineering, LLM optimization, and Generative AI workflows.
Lifetime Access and Support: Revisit recordings, presentations, and course materials anytime, with 24x7 assistance.
Competitive Pricing: Receive premium training at a value-driven cost without compromising quality.

Career & Outcomes

By the end of this program, you will be able to:

Apply advanced prompt engineering skills to design, optimize, and evaluate LLM-based solutions.
Gain industry-recognized credentials and practical experience that position you for Generative AI roles.
Confidently handle real-world AI projects and collaborate effectively in enterprise AI teams.
Work toward becoming a certified Generative AI Engineer, equipped with job-ready expertise in LLMs and prompt engineering.
Explore career opportunities in AI research, product development, NLP applications, and enterprise-level Generative AI solutions.

By enrolling in this Live Virtual Class (LVC), you will gain hands-on experience with real-world projects, learn from industry experts, and develop in-demand skills in Prompt Engineering with LLMs. This program is designed to equip you with the knowledge and practical expertise needed to excel in Generative AI roles and confidently handle enterprise-level AI projects.

Advance your AI career today. Enroll in our Live Virtual Class program and master Prompt Engineering with LLMs!

Show Classes

Want to check out the Prompt Engineering with LLMs classes?

Explore Classes

Query

Do you have any query for us?

Submit Your Query

The Prompt Engineering with LLM program is designed to help you develop strong expertise in crafting, refining, and applying prompts for Large Language Models (LLMs) such as GPT and other Generative AI tools. It focuses on both conceptual understanding and practical application, giving you the ability to control LLM outputs, automate workflows, and enhance AI-driven solutions through structured prompt design.

Start your journey in Generative AI. Enroll now in our Live Virtual Class (LVC)!

The Prompt Engineering with LLM course equips you with practical skills in Prompt Engineering and Generative AI, taking you from core concepts to advanced applications. You’ll work with Large Language Models (LLMs), build real-world AI solutions, and gain hands-on experience using tools like Python, PyTorch, LangChain, and OpenAI APIs.

Key Features:

Comprehensive coverage from foundations to advanced Generative AI techniques
Hands-on practice in prompt crafting to generate accurate and context-aware LLM outputs
Mastering advanced strategies: zero-shot, few-shot, and chain-of-thought prompting
Practical experience with retrieval-augmented generation (RAG) and vector database integration
Working with industry-standard tools and frameworks: Python, PyTorch, LangChain, Hugging Face, OpenAI APIs
Understanding LLMOps workflows for deploying and managing large-scale AI models
Awareness of ethical AI practices, including bias mitigation and responsible prompt design
Project-based learning across content generation, code automation, and data-driven applications

Gain in-demand skills and build real-world AI solutions. Enroll now in our Live Virtual Class and become a certified Generative AI Engineer!

This Prompt Engineering with LLM Certification course is recognized as a top-rated and popular program because it combines cutting-edge curriculum, hands-on projects, and industry-relevant tools to prepare learners for real-world Generative AI challenges.

What sets it apart:

Comprehensive coverage: From foundational concepts to advanced LLM workflows and prompt optimization techniques.
Practical focus: Work on real-world projects and deploy AI solutions using tools like Python, PyTorch, LangChain, and OpenAI APIs.
Industry alignment: Curriculum designed to match the skills in high demand for AI, NLP, and Generative AI roles.
LLMOps & ethical AI: Learn deployment best practices and responsible AI strategies, equipping you for enterprise-level AI projects.
Certification & career credibility: Earn the Generative AI Engineer credential, a recognized testament to your expertise in Prompt Engineering and LLM integration.

By mastering these in-demand skills, you gain a clear advantage in the competitive AI landscape and are well-prepared for advanced roles in Generative AI.

Stand out in your AI career. Enroll in our Live Virtual Class (LVC) today!

While there are no strict prerequisites, a basic understanding of Python, machine learning, deep learning, natural language processing, and generative AI will help you make the most of this course. To support all participants, you’ll also receive self-learning refresher materials on Generative AI and Prompt Engineering before the live sessions begin.

Get started today. Enroll in our Live Virtual Class and begin mastering Prompt Engineering with LLMs!

The Prompt Engineering with LLM course is delivered exclusively through instructor-led Live Virtual Classes (LVC). Each session includes interactive discussions, hands-on coding demonstrations, and Q&A segments to reinforce practical learning. You’ll get access to session recordings, assignments, and continuous mentor support throughout the program.

The live training spans about 30 hours, organized into short, interactive sessions that blend conceptual modules with guided lab work. Flexible scheduling ensures that professionals and students can participate without affecting their regular commitments.

Join our Live Virtual Class and learn from top industry experts. Enroll today!

To participate in this Live Virtual Class (LVC) and gain hands-on experience with Large Language Models (LLMs), your system should meet the following:

Laptop or desktop with at least 16 GB RAM (minimum 8 GB) and an Intel Core i5 / AMD Ryzen 5 processor or higher (Intel Core i3 or higher can work for basic tasks, but may limit performance for hands-on projects).
Stable, high-speed internet connection for live sessions, course materials, and cloud-based AI tools.

These specifications ensure you can smoothly work on real-world projects and industry-relevant AI applications.

Enroll now to start mastering Prompt Engineering with LLMs!

As part of the Prompt Engineering with LLM Certification Training course, you’ll gain hands-on experience in:

Designing, refining, and structuring prompts for LLMs.
Applying few-shot, zero-shot, and chain-of-thought prompting.
Leveraging APIs and frameworks like OpenAI GPT and LangChain for LLM interaction.
Building intelligent solutions that respond contextually and adaptively.

Master essential skills and gain hands-on experience. Enroll in our Live Virtual Class now!

In this Live Virtual Class (LVC), you will gain both theoretical knowledge and practical expertise in Prompt Engineering and Generative AI.

Skills taught:

Core Generative AI concepts and understanding how LLMs generate text, code, and data-driven outputs.
Prompt design and optimization for accurate, context-aware responses.
Advanced prompting strategies such as zero-shot, few-shot, and chain-of-thought prompting.
Retrieval-Augmented Generation (RAG) and vector database management for enhanced model performance.
Hands-on experience with Python, PyTorch, LangChain, Hugging Face, OpenAI APIs, and other modern AI tools.
LLMOps and deployment best practices, including ethical AI considerations and bias mitigation.

Skills mastered:

Design and deploy real-world AI solutions using advanced LLM workflows.
Integrate prompt-driven AI applications into enterprise-level projects.
Build a portfolio of practical projects demonstrating your expertise in Generative AI.
Acquire in-demand skills that make you career-ready for roles in AI, NLP, and Generative AI domains.

Develop hands-on expertise and earn your Generative AI Engineer certification. Enroll in our Live Virtual Class today!

The Prompt Engineering with LLM Certification program is best suited for:

Developers and engineers looking to integrate LLMs into products or applications.
AI/ML professionals seeking to get in-demand skills in Prompt Engineering.
Data and NLP specialists aiming to strengthen their Generative AI portfolios.
Students or career changers exploring new opportunities in Applied AI.

Advance your AI career. Register for the Prompt Engineering with LLM Certification Training today!

The Prompt Engineering with LLM Certification Live Virtual Class (LVC) program is designed to equip you with in-demand skills in Prompt Engineering and Generative AI through a structured, hands-on approach. By choosing this program, you benefit from:

Expert-led instruction: Learn directly from AI professionals with practical industry experience.
Comprehensive curriculum: Covers everything from prompt design and LLM optimization to advanced AI application deployment.
Hands-on projects: Gain real-world experience by building and deploying intelligent AI solutions across multiple domains.
Flexible live virtual format: Attend interactive sessions from the comfort of your home while engaging in live exercises.
Industry-recognized certification: Validate your expertise as a certified Generative AI Engineer upon course completion.
Career-focused outcomes: Develop skills aligned with current AI and NLP job requirements, boosting employability and credibility in the AI field.

Choose this program to gain practical AI expertise and earn your Generative AI Engineer certification. Enroll in our Live Virtual Class today!

Once you successfully complete all learning modules, hands-on assignments, and real-world projects included in the Prompt Engineering with LLM Certification Training, you will be awarded a course completion certificate.

Upon meeting all course completion requirements, you’ll be certified as a Generative AI Engineer, validating your ability to design, optimize, and deploy prompt-driven AI solutions using advanced Large Language Models (LLMs) and modern AI tools.

This industry-recognized certification demonstrates your expertise in Prompt Engineering, Generative AI, and LLM integration, helping you stand out in competitive AI and NLP roles.

Earn your Generative AI Engineer certification and accelerate your career. Enroll in our Live Virtual Class today!

Being certified as a Generative AI Engineer validates your practical expertise in Prompt Engineering, Large Language Models (LLMs), and Generative AI applications. This certification can help you:

Stand out to employers by demonstrating hands-on skills with industry-relevant AI tools and frameworks.
Access in-demand job opportunities in AI, NLP, and Generative AI domains.
Advance in your current role by applying prompt-driven AI solutions to real-world business problems.
Showcase your ability to deploy and optimize LLM-based applications, strengthening your professional credibility.
Build a strong portfolio of real-world projects, which can be highlighted to recruiters and clients.

Boost your AI career and become a certified Generative AI Engineer. Enroll in our Live Virtual Class (LVC) today!

During this Prompt Engineering with LLM Certification Training, you’ll gain practical experience with a wide range of Prompt Engineering tools and Generative AI technologies used across the industry. Through our Live Virtual Class (LVC) program, you’ll work hands-on with the following:

Core Development Tools: Python, Jupyter, Visual Studio Code, and Google Colab for building, testing, and experimenting with prompt-based AI applications.

AI and LLM Frameworks: PyTorch, Hugging Face, OpenAI, and Anthropic, core technologies powering model creation, fine-tuning, and deployment of Large Language Models (LLMs).

Prompt Engineering and Orchestration Technologies: LangChain, LlamaIndex, Chroma, Pinecone, Weaviate, and Milvus, cutting-edge technologies used to manage prompts, vector embeddings, and retrieval-augmented generation (RAG) pipelines.

Application Development and Deployment Platforms: FastAPI, Docker, Google Cloud Platform (GCP), LangSmith, and CrewAI, essential for developing, containerizing, and deploying scalable Generative AI applications.

By working with these real-world technologies and tools, you’ll learn to master essential skills in building, optimizing, and managing LLM-driven AI systems from prompt design and automation to deployment and monitoring.

Start working with today’s most in-demand AI tools and technologies. Enroll now in our Live Virtual Class and take your first step toward becoming a certified Generative AI Engineer!

Practicals in the Prompt Engineering with LLM Certification Live Virtual Class (LVC) programs are conducted using Python, Visual Studio Code, and Jupyter Notebook, giving you hands-on experience with real-world Prompt Engineering tasks.

You will receive a step-by-step installation guide through the learning platform to set up your environment seamlessly. Additionally, a dedicated support team is available 24/7 to assist with any technical issues or questions during your practical exercises.

Get hands-on experience and master real-world Prompt Engineering skills. Enroll in our Live Virtual Class today!

Upon completion, you can explore roles such as:

Prompt Engineer
Generative AI Engineer
AI Developer (LLMs)
AI Product Specialist
NLP Engineer

Organizations across industries, from technology to marketing and data services, are actively hiring professionals skilled in Prompt Engineering and LLM customization.

Get in-demand AI skills and accelerate your career. Enroll in our Live Virtual Class today!

Yes. The course follows a progressive learning path, starting with basic LLM concepts and moving toward complex prompt construction and evaluation methods. It’s designed to make both new and experienced learners comfortable with AI model interaction.

Yes, all registered learners receive lifetime access to course recordings, materials, and resources through our Learning Management System (LMS) on the first day of the program.

Enroll today to gain lifetime access to valuable learning resources.

Prompt Engineering with LLM Certification Course Topics

What is Generative AI?
Generative AI Evolution
Differentiating Generative AI from Discriminative AI
Types of Generative AI
Generative AI Core Concepts
LLM Modelling Steps
Transformer Models: BERT, GPT, T5
Training Process of an LLM Model like ChatGPT
The Generative AI development lifecycle
Overview of Proprietary and Open Source LLMs
Overview of Popular Generative AI Tools and Platforms
Ethical considerations in Generative AI
Bias in Generative AI outputs
Safety and Responsible AI practices

Introduction to Prompt Engineering
Structure and Elements of Prompts
Zero-shot Prompting
One-shot Prompting
Few-shot Prompting
Instruction Tuning Basics
Prompt Testing and Evaluation
Prompt Pitfalls and Debugging
Prompts for Different NLP Tasks (Q&A, Summarization, Classification)
Understanding Model Behavior with Prompt Variations

Chain-of-Thought (CoT) Prompting
Tree-of-Thought (ToT) Prompting
Self-Consistency Prompting
Generated Knowledge Prompting
Step-back Prompting
Least-to-Most Prompting
Adversarial Prompting & Prompt Injection
Defenses against Prompt Injection
Auto-prompting techniques
Semantic Search for Prompt Selection
Context Window Optimization strategies
Dealing with ambiguous prompts
Human-in-the-loop prompt refinement
Prompt testing and validation methodologies

LLM Landscape: OpenAI, Anthropic, Gemini, Mistral API, LLaMA
Core Capabilities: Summarization, Q&A, Translation, Code Generation
Key Configuration Parameters: Temperature, Top_P, Max_Tokens, Stop Sequences
Inference Techniques: Sampling, Beam Search, Greedy Decoding
Efficient Use of Tokens and Context Window
Calling Tools
Functions With LLMs
Deployment Considerations for Open-Source LLMs (Local, Cloud, Fine-Tuning)
Rate Limits, Retries, Logging
Understanding Cost, Latency, and Performance and Calculating via Code

LangChain Overview
LlamaIndex Overview
Building With LangChain: Chains, Agents, Tools, Memory
Understanding LangChain Expression Language (LCEL)
Working With LlamaIndex: Document Ingestion, Index Building, Querying
Integrating LangChain and LlamaIndex: Common Patterns
Using External APIs and Tools as Agents
Enhancing Reliability: Caching, Retries, Observability
Debugging and Troubleshooting LLM Applications

What is RAG and Why is it Important?
Addressing LLM limitations with RAG
The RAG Architecture: Retriever, Augmenter, Generator
DocumentLoaders
Embedding Models in RAG
VectorStores as Retrievers in LangChain and in Llamaindex
RetrievalQA Chain and its variants
Customizing Prompts for RAG
Advanced RAG Techniques: Re-ranking retrieved documents
Query Transformations
Hybrid Search
Parent Document Retriever and Self-Querying Retriever
Evaluating RAG Systems: Retrieval Metrics
Evaluation Metrics for Generation

What are Text Embeddings?
How LLMs and Embedding Models generate embeddings
Semantic Similarity and Vector Space
Introduction to Vector Databases
Key features: Indexing, Metadata Filtering, CRUD operations
ChromaDB: Local setup, Collections, Document and Embedding Storage
Pinecone: Cloud-native, Indexes, Namespaces, and Metadata filtering
Weaviate: Open-source, Vector-native, and Graph Capabilities
Other Vector Databases: FAISS, Milvus, Qdrant
Similarity Search Algorithms
Building Search Pipelines End to End with an Example Code
Vector Indexing techniques
Data Modeling in Vector Databases
Updating and Deleting Vectors
Choosing the Right Embedding Model
Evaluation of Retrieval quality from Vector Databases

Architecting LLM-Powered Applications
Types of GenAI Apps: Chatbots, Copilots, Semantic Search / RAG Engines
Design Patterns: In-Context Learning vs RAG vs Tool-Use Agents
Stateless vs Stateful Agents
Modular Components: Embeddings, VectorDB, LLM, UI
Key Architectural Considerations: Latency, Cost, Privacy, Memory, Scalability
Building GenAI APIs with FastAPI
RESTful Endpoint Structure
Async vs Sync, CORS, Rate Limiting, API Security
Orchestration Tools: LangServe, Chainlit, Flowise
Cloud Deployment: GCP
Containerization and Environment Setup

Evaluation Metrics: Faithfulness, Factuality, RAGAs, BLEU, ROUGE, MRR
Human and Automated Evaluation Loops
Logging, Tracing, and Observability Tools: LangSmith, PromptLayer, Arize
Prompt and Output Versioning
Chain Tracing and Failure Monitoring
Real-Time Feedback Collection
GenAI Use Cases: Customer Support, Legal, Healthcare, Retail, Finance
Contract Summarization
Legal Q&A Bots
Invoice Parsing with RAG
Product Search Applications
Domain Adaptation Strategies

Introduction to Multimodal LLMs (GPT-4V, LLaVA, Gemini)
How multimodal models process different data types
Use Cases: Image Captioning, Visual Q&A, Video Summarization
Working with Vision-Language Models (VLMs): Image inputs, text outputs
Image Loaders in LangChain/LlamaIndex
Simple visual Q&A applications
Audio Processing with LLMs: Speech-to-Text (ASR)
Text-to-Speech (TTS) integration
Video understanding with LLMs
Challenges in Multimodal AI
Ethical Considerations in Multimodal AI
Agent Frameworks (AutoGPT, CrewAI, LangGraph, MetaGPT)
ReAct and Plan-and-Act agent strategies
Future Directions

Introduction to LLMOps: Managing the ML Lifecycle for Large Language Models
Prompt Versioning and Experiment Tracking
Model Monitoring: Latency, Drift, Failures, and Groundedness
Safety and Reliability Evaluation: Toxicity, Hallucination, Bias Detection
Evaluation Frameworks Overview: RAGAS, TruLens, LangSmith
RAG Evaluation with RAGAS: Precision, Recall, Faithfulness
Observability in Production: Logs, Metrics, Tracing LLM Workflows
Using LangSmith for Chain/Agent Tracing, Feedback, and Dataset Runs
Integrating TruLens for Human + Automated Feedback Collection
Inference Cost Estimation and Optimization Techniques
Budgeting Strategies for Token Usage, API Calls, and Resource Allocation
Production Best Practices: Deploying With Guardrails and Evaluation Loops

Introduction to Model Finetuning: When Prompt Engineering Isn’t Enough
Overview of Parameter-Efficient Finetuning (PEFT)
LoRA (Low-Rank Adaptation): Concept and Architecture
QLoRA: Quantized LoRA for Finetuning Large Models Efficiently
Adapter Tuning: Modular and Lightweight Finetuning
Comparing Finetuning Techniques: Full vs. LoRA vs. QLoRA vs. Adapters
Selecting the Right Finetuning Strategy Based on Task and Resources
Introduction to Hugging Face Transformers and PEFT Library
Setting Up a Finetuning Environment with Google Colab
Preparing Custom Datasets for Instruction Tuning and Task Adaptation
Monitoring Training Metrics and Evaluating Fine-tuned Models
Use Cases: Domain Adaptation, Instruction Tuning, Sentiment Customization

Prompt Engineering with LLM Certification & Exam

After successfully completing the Prompt Engineering with LLM Certification Live Virtual Class (LVC) program and fulfilling all course requirements, including hands-on projects and assessments, you will be certified as a Generative AI Engineer. This industry-recognized certification validates your practical expertise in Prompt Engineering, LLM workflows, and Generative AI applications, and is highly valued by organizations seeking professionals who can design, optimize, and deploy prompt-driven AI solutions.

Enroll today to gain real-world AI experience, master in-demand skills, and advance your career as a certified Generative AI Engineer!

Why choose our Prompt Engineering with LLM Course ?

Most Popular

Trusted by professionals, this Prompt Engineering with LLM Certification validates your hands-on projects and practical Generative AI skills, offering an industry-recognized credential valued by top organizations.

Convenient Schedule

We have batches both on weekends and weekdays to accommodate the need of different professionals.

Competitive Pricing

Without compromising quality, our Prompt Engineering with LLM Certification Training is priced competitively, offering hands-on projects and practical Generative AI skills at a cost more economical than other providers.

Unmatched Quality

We along with our affiliate partners are dedicated in creating the best quality study materials and student experience across our products. All content complies with quality conformance standards to ensure that our content is the best in class and free of any errors.

Course Design

Based on years of experience in delivering effective professional training, our courses are designed not only to prepare you as a Generative AI Engineer, but also to empower you with best practices.

Trainers

All our trainers are highly qualified and certified in various industry frameworks. They have years of professional experience in their respective fields with a minimum of 10 years’ experience in training and consulting.

Lifetime Access

You get lifetime access to the Learning Management System (LMS). Class recordings and presentations can be viewed online from the LMS.

Customer Satisfaction

We’re here 24/7 to ensure you’re heard and supported, no matter what questions or doubts you may have. Our team is committed to delivering exceptional customer service to every individual and organization we serve.

Prompt Engineering with LLM Training Frequently Asked Questions

A Large Language Model (LLM) is an advanced AI system trained on massive amounts of text data to understand, generate, and interact in human-like language. Learning LLMs empowers you to:

Build intelligent AI applications, including chatbots, content generators, and virtual assistants.
Apply generative AI techniques for real-world tasks in business, research, and creative domains.
Stay ahead in emerging tech, as LLMs are central to the next generation of AI-driven solutions.

Master LLMs and advance your AI career. Enroll in our Live Virtual Class (LVC) today!

Prompt Engineering is the practice of designing and refining inputs (prompts) to guide Large Language Models (LLMs) in generating accurate, context-aware, and useful responses. It is a critical skill for effectively leveraging the capabilities of modern AI systems.

Learning Prompt Engineering empowers you to:

Extract precise outputs from LLMs for a variety of tasks, from content generation to code assistance and data analysis.
Build advanced AI applications such as chatbots, virtual assistants, and other Generative AI tools.
Apply advanced prompting strategies like zero-shot, few-shot, and chain-of-thought techniques to solve complex AI problems.
Stay competitive in AI-driven roles, as prompt engineering is increasingly essential for professionals working with Generative AI and LLMs.

Master Prompt Engineering and start building real-world AI solutions. Enroll in our Live Virtual Class (LVC) today!

The Live Virtual Class (LVC) program spans approximately 30 hours, delivered in short, interactive sessions that combine conceptual learning with hands-on practical exercises.

You can choose a schedule that suits your routine, such as 10 sessions of 3 hours each or 15 sessions of 2 hours each, making it easy for both professionals and students to participate without disrupting their regular commitments.

Join our Live Virtual Class and gain in-demand skills in Prompt Engineering with LLMs. Enroll today!

Expect real-world projects based on Generative AI applications like creating chatbots, automation assistants, or domain-specific text generation models. Each project simulates enterprise use cases to ensure you gain exposure to practical LLM workflows.

Work on real-world projects and build your AI portfolio. Enroll in our LVC today!

You’ll get 24x7 lifetime learning support, including technical guidance, query resolution, and access to the LMS with recordings and notes. Post-training, you can revisit resources anytime to strengthen your understanding.

Yes, we do offer additional discounts to group and corporate training customers. Please email us at [email protected] to find out more about our group discount offerings.

Use the "Submit your query"section in this page or check "Contact Us" section. Alternatively, please send an email to [email protected] to find out more about our course offerings.

If you're unemployed right now, or you're a student taking this course for career growth, we do provide additional discounts for you on selected courses. Please email [email protected] to avail this benefit and discount coupon.

Note: These discounts are available on selected courses only.

We do not offer placement or placement assistance services at this time. However, our training is designed to equip you with in-demand skills, hands-on experience, and certification readiness to help you confidently pursue new career opportunities. Many of our learners have successfully transitioned into new roles or advanced in their careers based on the knowledge and certifications gained through our programs

Prompt Engineering Certification Course with LLM Course in other cities :