The Software Development with Generative AI course is designed to equip learners with the skills to integrate generative AI technologies into modern software applications. Participants will gain hands-on experience in building AI-powered solutions using cutting-edge tools and frameworks, including large language models, AI APIs, and automation platforms. The course covers essential topics such as AI-driven code generation, conversational agents, image and content synthesis, and model fine-tuning for specific applications. By the end of the program, learners will be capable of designing, developing, and deploying intelligent software solutions that leverage generative AI to enhance user experience, productivity, and innovation.
Module 1: Introduction to Generative AI Overview of AI, ML, and Deep Learning What is Generative AI Applications of Generative AI in industry Ethical considerations in AI.
Module 2: Python for AI Development Python fundamentals for AI Libraries: NumPy, Pandas, Matplotlib Data preprocessing and cleaning.
Module 3: Machine Learning Fundamentals Supervised and unsupervised learning Regression, classification, clustering Model evaluation and metrics.
Module 4: Deep Learning Essentials Neural networks and architectures Activation functions, optimizers, and loss functions Overfitting, regularization, and dropout.
Module 5: Natural Language Processing (NLP) Text preprocessing and tokenization Language models and embeddings Sentiment analysis and text generation.
Module 6: Generative AI Models GANs (Generative Adversarial Networks) VAEs (Variational Autoencoders) Diffusion models and Transformers.
Module 7: Working with Hugging Face & OpenAI APIs Fine-tuning pre-trained models Building text, image, and code generation applications Prompt engineering best practices.
Module 8: AI Integration & Deployment Building AI-powered applications Using Streamlit, Gradio for web apps Model deployment on cloud platforms (AWS, Azure, GCP).
Module 9: Advanced AI Topics Multimodal AI (text + image + audio) Reinforcement learning basics Scaling AI applications.
Module 10: Capstone Project & Industry Use Cases End-to-end AI application development Real-world projects like AI chatbots, image generators, code assistants Presentation and evaluation of project.
Mobile: 9100348679
Email: coursedivine@gmail.com
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