Generative AI for Software Development: Prompts and Coding
Board Infinity via Coursera Specialization
Overview
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This Specialization is designed for software developers, junior machine learning engineers, and computer science students who want to apply Generative AI in software development. Across four courses, learners progress from understanding generative AI fundamentals and developing effective prompts to using AI in coding workflows and building applications with DeepSeek, LangChain, Streamlit, and related tools. The curriculum emphasizes practical development skills, including code generation, debugging, test writing, and AI application prototyping.
Syllabus
- Course 1: The Rise of Generative AI
- Course 2: Generative AI: Prompt Engineering Basics
- Course 3: Generative AI in Software Development
- Course 4: AI Development with DeepSeek for Developers
Courses
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Course Overview: This course offers a comprehensive exploration of the evolution of Generative AI, from its inception to its current state-of-the-art developments. Over seven video lectures, students will gain insights into key milestones, technologies, and the transformative impact of AI on various sectors. Course Objectives: -Understand the historical context and development of AI. -Learn about pivotal AI technologies and models, including neural networks, GANs, Transformer architectures, and more. -Explore the applications and implications of AI in various fields. -Speculate on the future trajectory and potential of AI. Target Audience: This course is designed for professionals, students, and enthusiasts interested in understanding the role and impact of AI in shaping our future. Assessment and Evaluation: Participants will be assessed through quizzes, participation in forum discussions, and a final project focusing on the application or analysis of a generative AI concept. Disclaimer: This is an independent educational resource created by Board Infinity for informational and educational purposes only. This course is not affiliated with, endorsed by, sponsored by, or officially associated with any company, organization, or certification body unless explicitly stated. The content provided is based on industry knowledge and best practices but does not constitute official training material for any specific employer or certification program. All company names, trademarks, service marks, and logos referenced are the property of their respective owners and are used solely for educational identification and comparison purposes.
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The course provides a comprehensive exploration of how generative AI is reshaping software development by accelerating coding, improving debugging, and enhancing automation. It is designed for aspiring software engineers, developers, and professionals who want to integrate AI into modern development workflows to build efficient, scalable, and error-free applications. You will explore the role of large language models (LLMs) like GPT, Gemini, and LLaMA in coding tasks, software testing, and project automation. The course begins with foundational AI concepts—machine learning, deep learning, and generative models—before diving into practical applications of code generation, prompt engineering, and debugging. Hands-on labs and exercises guide you through AI-powered developer tools such as GitHub Copilot, ChatGPT, and CodeWhisperer. You will also examine advanced AI topics including embeddings, retrieval-augmented generation (RAG), and fine-tuning to customize AI models for specific development needs. Ethical considerations, human-AI collaboration, and the future of AI in engineering are also covered. By the end of this course, you will be able to: - Apply generative AI to accelerate coding, debugging, and software testing. - Use AI-powered tools like Copilot, ChatGPT, and CodeWhisperer to improve productivity. - Implement advanced AI methods such as embeddings, RAG, and fine-tuning. - Evaluate ethical, collaborative, and practical challenges of AI in software engineering. Disclaimer: This is an independent educational resource created by Board Infinity for informational and educational purposes only. This course is not affiliated with, endorsed by, sponsored by, or officially associated with any company, organization, or certification body unless explicitly stated. The content provided is based on industry knowledge and best practices but does not constitute official training material for any specific employer or certification program. All company names, trademarks, service marks, and logos referenced are the property of their respective owners and are used solely for educational identification and comparison purposes.
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The course provides a comprehensive introduction to Generative AI and Prompt Engineering, equipping learners with the knowledge and skills to craft effective prompts that produce accurate, high-quality outputs across multiple domains. It is designed for professionals, students, and enthusiasts aiming to optimize AI interactions, enhance digital workflows, and leverage tools like GPT, ChatGPT, Bard, and IBM Watson. Learners will explore foundational AI concepts, the evolution of large language models, and the mechanics of prompt engineering. Practical lessons cover crafting prompts for diverse applications such as text generation, code debugging, content creation, and automation. Advanced sections dive into strategies like zero-shot and few-shot prompting, chain-of-thought techniques, and refining prompts for accuracy, context, and tone. The course also emphasizes ethical considerations in AI use, including bias, fairness, and responsible deployment. By combining theory, hands-on practice, and real-world case studies, learners will gain confidence in designing prompts that deliver consistent, reliable, and domain-specific outcomes. By the end of this course, you will be able to: - Understand Generative AI fundamentals and their applications across industries. - Craft prompts that yield precise, high-quality AI responses. - Apply advanced techniques such as chain-of-thought and zero/few-shot prompting. - Evaluate prompt effectiveness using key metrics and refine strategies for optimization. Disclaimer: This is an independent educational resource created by Board Infinity for informational and educational purposes only. This course is not affiliated with, endorsed by, sponsored by, or officially associated with any company, organization, or certification body unless explicitly stated. The content provided is based on industry knowledge and best practices but does not constitute official training material for any specific employer or certification program. All company names, trademarks, service marks, and logos referenced are the property of their respective owners and are used solely for educational identification and comparison purposes.
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The AI Development with DeepSeek for Developers course is a hands-on guide to building real-world AI applications using DeepSeek's open-source models—no prior experience required. Designed for developers, students, ML engineers, and tech enthusiasts, this course combines conceptual overviews with practical projects, delivered through Jupyter notebooks and popular Python libraries like LangChain, Streamlit, Promptify, DSPy, and DeepEval. Start by exploring DeepSeek’s ecosystem, accessing V3, R1, and Coder models via web and API, and building your first Q&A app. Next, apply DeepSeek to real-world tasks—summarizing documents, generating code, building interactive Q&A systems, and advanced reasoning. Then, create task-specific AI agents, compare DeepSeek’s performance and pricing with leading LLMs, and interpret benchmark results. Finally, explore DeepSeek’s unique features—GRPO, Mixture-of-Experts architecture, quantized models, and fine-tuning options for custom use cases. By the end, you will be able to: - Build Q&A, chatbot, and code generation apps using DeepSeek and Python tools. - Apply DeepSeek for summarization, coding, and advanced reasoning in real projects. - Create and compare AI agents, analyze model performance, and interpret benchmarks. - Customize and evaluate DeepSeek models for your own use cases, leveraging open-source features. Whether you’re starting your AI journey or expanding your toolkit, this course will help you confidently build and deploy practical AI solutions with DeepSeek. Disclaimer: This course is an independent educational resource developed by Board Infinity and is not affiliated with, endorsed by, sponsored by, or officially associated with Deepseek or any of its subsidiaries or affiliates. This course is not an official preparation material of Deepseek. All trademarks, service marks, and company names mentioned are the property of their respective owners and are used for identification purposes only.
Taught by
Board Infinity