Prompt Engineer
Profile Code: AL-AI-02
- ₹14 LPA (Median Salary)
- Lecture Duration 2hrs
- Course Duration 8 Weeks
Skills You Learn: Prompt Engineering Techniques | Large Language Models (LLMs) | Generative AI Applications | Natural Language Processing (NLP) | AI Evaluation & Testing | Prompt Optimization & Experimentation | Python & AI APIs | AI Ethics & Responsible AI Practices
Overview Video
About This Course
Prompt Engineers design, test, and optimize prompts that enable Generative AI models to produce accurate, relevant, and context-aware outputs for diverse business applications. They collaborate with AI developers, data teams, and business stakeholders to build intelligent workflows, automate tasks, and improve user experiences using large language models (LLMs). This course prepares learners for a career as a Prompt Engineer through hands-on projects, industry workflows, collaborative learning, and real-world case studies aligned with current hiring expectations in India. Learners gain expertise in prompt engineering techniques, LLM fundamentals, AI agents, Retrieval-Augmented Generation (RAG), prompt evaluation, AI safety, workflow automation, and responsible AI practices. The curriculum includes practical experience with leading AI platforms and tools. Through live projects and capstone assignments, participants develop analytical thinking, creativity, and AI application skills, preparing them for Prompt Engineer, AI Content Specialist, LLM Specialist, and AI Solutions Consultant roles across diverse industries.
Course Content
7 modules · 8 weeks · 2hrs/dayChatGPT Course
The ChatGPT Course Basic to Advance provides learners with a strong foundation in prompt engineering and AI-assisted content generation using ChatGPT. Participants learn prompt design, conversation structuring, role-based prompting, instruction writing, few-shot prompting, chain-of-thought concepts, content generation, summarization, brainstorming, reasoning techniques, and productivity workflows. Through hands-on exercises and real-world business scenarios, the course develops practical skills to create effective prompts that improve the quality, consistency, and accuracy of AI-generated responses across various professional applications.
Claude Course
The Claude Course Basic to Advance equips learners with advanced prompt engineering techniques using Anthropic's Claude models. Participants explore long-context prompting, document analysis, structured outputs, prompt optimization, reasoning workflows, role-based instructions, safety-aware prompting, evaluation methods, and enterprise AI applications. Through practical projects, the course prepares learners to build reliable AI workflows for research, business automation, content creation, and knowledge management.
Gemini Course
The Gemini Course Basic to Advance focuses on leveraging Google's Gemini models for multimodal AI applications and advanced prompt engineering. Learners master text, image, and document prompting, reasoning strategies, structured responses, workflow optimization, multimodal interactions, API integration concepts, and business use cases. The course emphasizes hands-on implementation to create intelligent AI solutions that improve productivity and decision-making.
OpenAI API Course
The OpenAI API Course Basic to Advance teaches learners how to integrate OpenAI models into custom applications using APIs. Participants learn authentication, chat completions, structured outputs, function calling, streaming responses, embeddings, prompt optimization, error handling, rate limits, and API security. Through real-world development projects, the course enables learners to build scalable AI-powered applications and intelligent automation solutions.
LangChain Course
The LangChain Course Basic to Advance provides comprehensive training in building AI applications with large language models using the LangChain framework. Participants learn prompt templates, chains, agents, memory, document loaders, retrieval-augmented generation (RAG), vector databases, tools, output parsers, and workflow orchestration. The course focuses on developing production-ready AI systems through practical implementation and enterprise use cases.
PromptLayer Course
The PromptLayer Course Basic to Advance equips learners with the skills to monitor, manage, and optimize prompts for production AI applications. Participants explore prompt versioning, logging, analytics, experimentation, evaluation, prompt tracking, performance monitoring, collaboration, and deployment best practices. Through hands-on exercises, the course prepares learners to maintain high-quality, reliable, and continuously improving prompt engineering workflows.
Anthropic API Course
The Anthropic API Course Basic to Advance focuses on integrating Claude models into enterprise applications using the Anthropic API. Learners explore API authentication, message handling, streaming, tool use, structured outputs, prompt optimization, error handling, rate limiting, security practices, and application deployment. Through practical business scenarios, the course develops the expertise required to build secure, scalable, and production-ready AI solutions powered by Anthropic's language models.
Key Responsibilities
- Design, test, and optimize prompts for large language models and generative AI applications
- Develop prompt libraries and workflows to improve AI response quality and accuracy
- Evaluate model outputs and implement prompt engineering techniques to enhance performance
- Collaborate with AI engineers, product teams, and domain experts to build AI-powered solutions
- Monitor AI systems and refine prompts to ensure reliability, safety, and business alignment
Growth Path
Tools Used
Perfect For
Computer Science and Engineering Graduates | Content and Technical Writers | Data Science and AI Enthusiasts | Software Developers and Product Professionals | Business Analysts and Domain Experts | Individuals Interested in Generative AI and Human-AI Interaction
Fee Structure
Mentor
Analytics Learners
Professional Analyst & Mentor
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