Explain the fundamental concepts and applications of AI in various domains.

Describe the core principles of machine learning, deep learning, and neural networks, and apply them to real-world scenarios.

Analyze the role of generative AI in transforming business operations, identifying opportunities for innovation and process improvement.

Design a generative AI solution for an organizational challenge, integrating ethical considerations.

Describe generative AI and distinguish it from discriminative AI.

Describe the capabilities of generative AI and its use cases in the real world.

Identify the applications of generative AI in different sectors and industries.

Explore common generative AI models and tools for text, code, image, audio, and video generation.

Explain the concept, relevance, and best practices of prompt engineering to guide generative AI models in producing meaningful, accurate outputs.

Apply prompt engineering techniques to text prompts, improving the reliability and quality of large language models.

Practice prompt engineering techniques and approaches, including interview pattern, chain-of-thought, tree-of-thought, to improve prompt outcomes.

Explore commonly used tools for prompt engineering to aid with prompt engineering.

Describe the Web Application Development Ecosystem and terminology like front-end developer, back-end, server-side, and full stack.

Identify the developer tools, online editors like JSFiddle, and integrated development environments (IDEs) for building and testing web applications.

Create and structure basic web pages using HTML and style them with CSS.

Develop dynamic and interactive web pages using JavaScript, including DOM manipulation, form validation, and client-side scripting techniques.

Develop a foundational understanding of Python programming by learning basic syntax, data types, expressions, variables, and string operations.

Apply Python programming logic using data structures, conditions and branching, loops, functions, exception handling, objects, and classes.

Demonstrate proficiency in using Python libraries such as Pandas and Numpy and developing code using Jupyter Notebooks.

Access and extract web-based data by working with REST APIs using requests and performing web scraping with BeautifulSoup.

Describe the steps and processes involved in creating a Python application including the application development lifecycle

Create Python modules, run unit tests, and package applications while ensuring the PEP8 coding best practices

Build and deploy web applications using Flask, including routing, error handling, and CRUD operations.

Create and deploy an AI-based application onto a web server using IBM Watson AI Libraries and Flask

Explain the core concepts of generative AI, including large language models, speech technologies, and platforms such as IBM watsonX, and Hugging Face

Build generative AI-powered applications and chatbots using LLMs, retrieval-augmented generation(RAG), and foundational Python frameworks

Integrate speech-to-text (STT) and text-to-speech (TTS) technologies to enable voice interfaces in generative AI applications

Develop web-based AI applications using Python libraries, such as Flask and Gradio, along with basic front-end tools like HTML, CSS, and JavaScript

Demonstrate how to generate code snippets, scripts, and programs using generative AI models

Apply generative AI techniques for application design, architecture, bug detection, code refactoring, and program optimization

Develop innovative solutions using generative AI-powered tools such as ChatGPT, GitHub Copilot, Google Gemini, and IBM watsonx Code Assistant

Explainthe challenges and ethical considerations associated with using generative AI for programming, along with strategies for mitigating them

Describe the role of a software developer, typical career paths, and emerging opportunities in the field

Explain how to prepare for a job search, including researching companies, identifying suitable roles, and developing key

Apply strategies for networking and assessing job listings to effectively target and pursue software development positions

Demonstrate readiness for each stage of the interview process, including technical challenges, behavioral questions, and post-interview follow-up