Univad's Diploma in Generative AI Engineering is your gateway to a thriving career in artificial intelligence. In just six months, you’ll gain job-ready skills, practical experience, and an industry-recognized certification that employers are actively seeking.

This program is designed for aspiring AI developers and software engineers, equipping you with the knowledge and expertise to create innovative AI-powered applications and chatbots.

What You'll Learn:

• The fundamental concepts, key terms, and building blocks of AI, with a focus on generative AI.

• How to design and develop generative AI-powered applications and chatbots using various programming frameworks and AI technologies.

• Practical skills in Python and Flask for developing and deploying AI applications on the web.

Skills You Will Gain:

• Artificial Intelligence (AI)

• Generative AI

• Prompt Engineering

• Python Programming

• Web Development (HTML, CSS, JavaScript)

• Software Engineering

• Agile and Scrum Methodologies

• Natural Language Processing

• Machine Learning

• Data Analysis (NumPy, Pandas)

As AI and generative AI reshape industries, the demand for skilled AI Software Developers is skyrocketing. This program, offered in collaboration with IBM, equips you with essential skills to design, develop, and implement AI and generative AI-powered applications and virtual assistants. No prior experience in AI or programming is required!

Applied Learning Projects:

Throughout the program, you'll engage in hands-on labs and projects that allow you to apply your new skills in real-world scenarios. Examples of projects include:

• Developing a portfolio website using HTML, CSS, and JavaScript.

• Creating a sentiment analysis application with Python, Flask, and embedded AI libraries.

• Generating meaningful captions for photos using generative AI.

• Building a ChatGPT-like website using open-source Large Language Models (LLMs).

• Creating a voice assistant with OpenAI's GPT APIs and IBM Watson libraries.

• Developing an AI meeting companion using Llama.

• Summarizing private data with LLMs and generative AI.

• Constructing “Babel Fish,” a voice-enabled universal language translator with Flan and Gradio.

Upon successful completion, you’ll receive a Diploma Certificate to showcase your AI expertise. Additionally, you'll have access to career assistance, job search resources, and interview preparation materials.

Enroll Now!

Transform your career opportunities with the Univad Diploma in Generative AI Engineering and position yourself at the forefront of the AI revolution. Start your journey today and be part of a rapidly evolving field!

Semester 1: Introduction to Software Engineering

• Overview: Understanding the fundamentals of software engineering.

• Learning Outcomes:

  • Describe software engineering and the Software Development Lifecycle (SDLC).

  • Identify various programming languages and construct basic programming elements using Python.

  • Outline application architecture, design patterns, and deployment architectures.

  • Summarize essential skills for software engineering and career options available.

• Skills Gained:

  • Python Programming

  • Application Development

  • Web Application Development

  • Flask Framework

  • Artificial Intelligence (AI)

Semester 2: Introduction to Artificial Intelligence (AI)

• Overview: An introductory course to AI concepts and applications.

• Learning Outcomes:

  • Define AI and explain core concepts related to its operation.

  • Demonstrate AI applications and their transformative potential in various sectors.

  • Recognize the impact of AI on businesses and careers.

  • Discuss ethical concerns and limitations associated with AI.

• Skills Gained:

  • Software Engineering

  • Code Generation

  • AI Prompts

  • Generative AI

Semester 3: Generative AI: Introduction and Applications

• Overview: Exploring generative AI and its practical uses.

• Learning Outcomes:

  • Distinguish between generative and discriminative AI.

  • Identify generative AI capabilities and real-world use cases.

  • Explore applications across various industries.

  • Familiarize with common generative AI models and tools.

• Skills Gained:

  • Career Development

  • Software Engineering

  • Coding Challenges

  • Interview Preparation

Semester 4: Generative AI: Prompt Engineering Basics

• Overview: Introduction to prompt engineering in generative AI.

• Learning Outcomes:

  • Explain the relevance of prompt engineering.

  • Apply best practices for creating effective prompts.

  • Practice techniques for impactful prompt writing.

  • Explore tools for enhancing prompt engineering.

• Skills Gained:

  • Data Science

  • Data Analysis

  • Python Programming

  • Numpy & Pandas

Semester 5: Introduction to HTML, CSS, & JavaScript

• Overview: Fundamentals of web application development.

• Learning Outcomes:

  • Understand web development terminology (e.g., front-end, back-end).

  • Identify developer tools and integrated development environments (IDEs).

  • Create and structure web pages using HTML and CSS.

  • Develop interactive web pages with JavaScript.

• Skills Gained:

  • Voice Assistants

  • Chatbots

  • Python Programming

Semester 6: Python for Data Science, AI & Development

• Overview: Comprehensive Python programming for various applications.

• Learning Outcomes:

  • Learn Python as a tool for Data Science and Software Development.

  • Apply programming logic, data structures, branching, loops, and functions.

  • Use libraries like Pandas and Numpy in practical scenarios.

  • Access and scrape data using APIs and Python libraries.

• Skills Gained:

  • Artificial Intelligence (AI)

  • ChatGPT

  • Large Language Models (LLM)

  • Natural Language Generation

  • Generative AI

Semester 7: Developing AI Applications with Python and Flask

• Overview: Building AI applications using Python and Flask.

• Learning Outcomes:

  • Describe the application development lifecycle.

  • Create Python modules and run unit tests.

  • Explain the Flask framework and deploy applications.

  • Develop an AI-based application using IBM Watson AI Libraries.

• Skills Gained:

  • Software Engineering

  • Software Architecture

  • Python Programming

  • Agile and Scrum

  • Software Development Lifecycle (SDLC)

Semester 8: Building Generative AI-Powered Applications with Python

• Overview: Creating applications powered by generative AI.

• Learning Outcomes:

  • Explain generative AI concepts and technologies.

  • Integrate large language models using RAG technology.

  • Use Flask and Gradio for web applications interacting with generative AI models.

  • Build applications and chatbots using generative AI models.

• Skills Gained:

  • Generative AI

  • AI Ethics

  • Natural Language Processing

  • Machine Learning

Semester 9: Generative AI: Elevate Your Software Development Career

• Overview: Enhancing programming skills using generative AI tools.

• Learning Outcomes:

  • Generate code snippets and scripts with generative AI.

  • Apply techniques for application design and architecture.

  • Develop solutions using tools like ChatGPT and IBM Watsonx.

  • Discuss ethical considerations and mitigation strategies.

• Skills Gained:

  • Artificial Intelligence (AI)

  • Prompt Engineering

  • Generative AI

Semester 10: Software Developer Career Guide and Interview Preparation

• Overview: Preparing for a successful career in software development.

• Learning Outcomes:

  • Describe software engineering roles and career paths.

  • Build a job search foundation (resume writing, portfolio creation).

  • Summarize expectations during job interviews and preparation techniques.

  • Discuss effective interview strategies and personal presentation.

• Skills Gained:

  • Web Development

  • JavaScript

  • HTML & CSS

The next application deadlines are:

• Priority Deadline: November 30, 2024

• Final Deadline: November 10, 2024

Have questions? Attend an upcoming Information Session or use the chat box at the bottom right corner of the screen.

For more information about the Univad Diploma Tuition, session durations, and deadlines, kindly visit the Tuition page to access this information and even more.

Self-paced

• Students who hold Bachelor's degrees and wish to concentrate or expand their knowledge in the field

• Professionals who have several years of working experience

• Anyone who wishes to gain a new skill for personal growth or to start a career.