[100% Off] Advanced Prompt Engineering: Multimodal Ai Workflows
Design AI workflows with context engineering, JSON outputs, prompt chaining, and image, PDF, audio and video inputs
What you’ll learn
- Master advanced prompt engineering techniques for reliable and effective AI interactions.,Design context-rich prompts using context engineering
- few-shot prompting
- and reusable templates.,Build multi-step AI workflows using prompt chaining
- conditional logic
- and task decomposition.,Generate structured AI outputs using JSON
- JSON Schema
- and automated validation.,Analyze images
- screenshots
- charts
- and visual data using multimodal AI models.,Extract insights from PDFs
- documents
- reports
- and presentations using AI.,Process audio and video inputs for transcription
- summarization
- and event analysis.,Develop multimodal AI workflows combining text
- images
- documents
- audio
- and video.,Evaluate
- optimize
- and secure AI prompts for accuracy
- reliability
- and production use.,Build a complete multimodal AI analysis system through hands-on projects.
Requirements
- Basic understanding of Generative AI and Large Language Models (LLMs) is recommended.,Familiarity with basic prompting using ChatGPT
- Claude
- Gemini
- or similar AI tools is helpful.,No advanced programming or machine learning experience is required.,A computer with an internet connection for demonstrations and hands-on exercises.,Access to an AI assistant or compatible local AI model for practicing prompting techniques.,Basic knowledge of JSON and Python is helpful for optional technical exercises.,Some multimodal features may require access to supported AI models or platforms.,A willingness to experiment
- solve problems
- and build practical AI workflows.
Description
This course contains the use of artificial intelligence.
Master Advanced Prompt Engineering, Context Engineering, Structured Outputs, Prompt Chaining, and Multimodal AI
Artificial Intelligence is evolving beyond simple text prompts. Are you ready to move beyond basic prompting and build intelligent, reliable, multimodal AI workflows?
Welcome to Advanced Prompt Engineering: Multimodal AI Workflows, a practical course designed to help you master advanced prompting techniques, context engineering, multimodal artificial intelligence, and AI workflow automation.
Whether you’re an AI Engineer, Prompt Engineer, Software Developer, Product Manager, Data Scientist, or Generative AI enthusiast, this course will help you develop the skills needed to design sophisticated AI interactions and applications.
Instead of simply learning how to write better prompts, you’ll discover how to build structured, reusable, and measurable AI prompting systems that work with text, images, PDFs, documents, audio, and video.
What You’ll Learn
Throughout this course, you’ll explore:
Advanced Prompt Engineering: Master reusable prompt templates, few-shot prompting, role-based instructions, constraint-based prompting, and iterative prompt refinement.
Context Engineering: Learn context window management, context optimization, information prioritization, conversation memory, and long-context prompting.
Structured AI Outputs: Generate machine-readable responses using JSON, JSON Schema, output validation, and structured data extraction.
Prompt Chaining: Build multi-step AI workflows using sequential prompts, conditional logic, parallel execution, and task decomposition.
Multimodal Prompt Engineering: Design effective prompts for image understanding, visual question answering, document intelligence, audio analysis, and video understanding.
Document AI: Analyze PDF files, research papers, business reports, contracts, tables, and presentations using Generative AI.
Image Prompting: Extract insights from screenshots, dashboards, charts, photographs, and visual information.
Audio and Video Prompting: Explore speech transcription, meeting summarization, speaker identification, video summarization, and timestamp-based analysis.
Retrieval-Augmented Generation (RAG): Understand grounded prompting, evidence extraction, source attribution, and document-based question answering.
Agentic AI and Tool Calling: Explore prompt design for AI agents, automated tool execution, and multi-step intelligent workflows.
AI Evaluation and Security: Learn prompt testing, hallucination detection, prompt injection prevention, guardrails, and reliability optimization.
Learn Through Real-World Hands-On Projects
This isn’t just another theoretical Generative AI course.
You’ll complete practical exercises involving prompt optimization, JSON extraction, document analysis, image interpretation, meeting intelligence, video processing, and AI workflow orchestration.
You’ll also explore popular tools and technologies, including ChatGPT, Claude, Google Gemini, Python, Ollama, and open-source large language models (LLMs), with techniques that can transfer across platforms.
Your final capstone project brings everything together: designing an end-to-end multimodal AI analysis system that processes different input types, extracts insights, validates outputs, and produces structured reports.
Why Take This Course?
Modern AI applications require more than clever instructions. They demand effective context management, dependable structured responses, intelligent prompt workflows, robust evaluation, and responsible handling of multimodal information.
By completing this course, you’ll understand how to move from basic AI conversations toward designing production-oriented Generative AI applications.
Whether you’re advancing your career in Artificial Intelligence, exploring AI automation, or building your next AI-powered product, this course provides practical techniques you can apply immediately.
Go beyond prompting. Learn to engineer intelligent AI workflows that understand more, process more, and deliver more reliable results.
Enroll today and take your Prompt Engineering and Multimodal AI skills to the next level!
