Software Engineering Courses

Whizlabs

Prompt Engineering Generative AI & LLM Models Fundamentals

Master prompt engineering and LLM fundamentals through hands-on training, optimization techniques, and advanced architectures like RAG for real-world AI applications.

• Coursera
• 6 hours 28 minutes
• Self-Paced
• Paid Course

Packt

Prompt Engineering Foundations

Master prompt engineering fundamentals by building AI-powered tools with OpenAI and Anthropic APIs, managing LLMs, and creating real-world projects using Python in under 6 hours.

• Coursera
• 5 hours 29 minutes
• Self-Paced
• Paid Course

LearnKartS

Prompt Engineering for ChatGPT: Beginner to Advanced

Master prompt engineering for ChatGPT, from basics to advanced techniques like Chain-of-Thought and Few-Shot Prompting, to craft precise, high-quality AI outputs for text, images, and code.

• Coursera
• 12 hours 43 minutes
• Self-Paced
• Paid Course

Prompt Engineering Fundamentals

Master prompt engineering from fundamentals to advanced techniques, covering LLMs, structured frameworks, Chain of Thought reasoning, and real-world applications to boost productivity and AI integration.

• Coursera
• 3 hours 39 minutes
• Self-Paced
• Paid Course

Prompt Engineering for ChatGPT

Master prompt engineering for ChatGPT using frameworks like CO-STAR, RACE, and CREATE to eliminate hallucinations, chain complex prompts, and transform AI into a professional productivity multiplier.

• Coursera
• 4 hours
• Self-Paced
• Paid Course

Prompt Engineering for All Employees

Master practical AI skills for the workplace—learn prompt engineering frameworks, role-specific use cases, output evaluation, and build a 30-day AI adoption plan to boost productivity confidently.

• Coursera
• 6 weeks, 1 hour a week
• Self-Paced
• Paid Course

Prompt Engineering for Vision Models

Master prompt engineering techniques for vision models including SAM, OWL-ViT, and Stable Diffusion through hands-on image generation, segmentation, and object detection tasks.

• Coursera
• 1 hour 30 minutes
• Self-Paced
• Paid Course

Prompt Engineering for AI Image Generation

Master prompt engineering techniques to create professional AI-generated images for business use, covering tool selection, style description, and ethical implementation.

• Coursera
• 5 hours 10 minutes
• Self-Paced
• Paid Course

Prompt Engineering for AI Text Generation

Master prompt engineering techniques to optimize AI text generation tools for business communication, content creation, and workflow efficiency in just 5 hours.

• Coursera
• 4 hours 55 minutes
• Self-Paced
• Paid Course

Edureka

Prompt Engineering for LLMs

Master systematic prompt engineering techniques to design, evaluate, and scale effective LLM interactions using advanced strategies like few-shot prompting and chain-of-thought reasoning.

• Coursera
• 9 hours 52 minutes
• Self-Paced
• Paid Course

Prompt Engineering: Tools, Models, and Future Directions

Explore prompt engineering across AI platforms like RunwayML, Midjourney, and Google Bard, mastering techniques for image, audio, video, and text generation to unlock career opportunities in AI innovation.

• Coursera
• 11 weeks, 1 hour a week
• Self-Paced
• Paid Course

Practical Prompt Engineering with AI

Master AI prompting to summarize, analyze data, and generate visuals using Claude, Custom GPTs, and DALL·E for smarter workplace productivity.

• Coursera
• 2 weeks, 6 hours a week
• Self-Paced
• Paid Course

Coursera

Production ML Engineering: Packaging, APIs, and Testing

Master the end-to-end process of packaging ML models, building production APIs, implementing CI/CD workflows, and designing automated tests to deploy reliable machine learning systems.

• Coursera
• 11 hours 20 minutes
• Self-Paced
• Paid Course

Packt

Manufacturing & Engineering

Explore essential manufacturing concepts including LEAN methodology, teamwork, safety protocols, and process optimization tools to enhance industrial operations and workplace effectiveness.

• Coursera
• 3 hours 11 minutes
• Self-Paced
• Paid Course

Board Infinity

Network Virtualization and Software-Defined Networking

Master VMware NSX-T by exploring SDN fundamentals, logical switching, routing, traffic optimization, and zero-trust micro-segmentation security for scalable, virtualized data center environments.

• Coursera
• 3 weeks, 4 hours a week
• Self-Paced
• Paid Course