Generative AI for Software Developers Professional

Core Periods Modules

The Generative AI for Software Developers Professional Certificate Program is a meticulously structured, career-focused initiative designed to equip software developers with advanced skills in leveraging Generative AI technologies. Spanning 12 months, this program combines comprehensive academic training with hands-on experience to ensure participants are well-prepared for roles in AI-driven software development. The first six months focus on foundational instruction in key areas such as natural language processing (NLP), deep learning, and the architecture of Generative AI models, including techniques like reinforcement learning. Participants will also explore the integration of Large Language Models (LLMs) into software applications, as well as the ethical considerations surrounding AI technologies. The program emphasizes real-world application, where developers will apply their knowledge through hands-on projects, industry-specific case studies, and problem-solving exercises. In the second phase, participants will work on advanced projects, gaining practical experience in building and deploying Generative AI-powered applications. This phase also includes collaborative work, helping professionals refine their technical and problem-solving skills in a professional setting. Upon successful completion, participants will receive the Generative AI for Software Developers Professional Certificate, positioning them for career opportunities as AI software engineers, machine learning engineers, or AI application developers.

1. Period 0

   Generative AI: Introduction and Applications

   Generative AI: Introduction and Applications introduces professionals to the fundamentals of Generative AI, covering key concepts such as neural networks, deep learning, and natural language processing (NLP). The module explores various applications of Generative AI, including content creation, AI-driven design, and language models.

2. Period 1

   Building Generative AI-Powered Applications with Python

   Building Generative AI-Powered Applications with Python teaches professionals how to leverage Python for developing AI-powered applications using Generative AI techniques. The module covers key libraries and frameworks, such as TensorFlow, PyTorch, and Hugging Face, to implement machine learning models and fine-tune large language models (LLMs).

3. Period 2

   Generative AI and LLMs: Architecture and Data Preparation

   Generative AI and LLMs: Architecture and Data Preparation explores the underlying architecture of Generative AI models and Large Language Models (LLMs), providing participants with a deep understanding of how these models are structured and function.

4. Period 3

   Introduction to Deep Learning & Neural Networks with Keras

   Introduction to Deep Learning & Neural Networks with Keras provides professionals with a foundational understanding of deep learning techniques and neural network architectures using Keras. This module covers key concepts such as perceptrons, activation functions, feedforward neural networks, and backpropagation.

5. Period 4

   Gen AI Foundational Models for NLP & Language Understanding

   Gen AI Foundational Models for NLP & Language Understanding focuses on the foundational models used in Generative AI for natural language processing (NLP) and language understanding. This module covers key concepts such as transformers, attention mechanisms, and pre-trained models like GPT and BERT.

6. Period 5

   Industry Work Experience (6 Months), 2 Electives

   The continuation of the work experience allows participants to deepen their expertise and apply their learning in more complex business scenarios. With additional electives, participants refine their understanding.