Overview:

Step into the future with our comprehensive Artificial Intelligence & Generative AI course. Designed for tech professionals, developers, and curious minds, this course covers core AI principles, real-world applications, and hands-on exposure to cutting-edge generative tools like ChatGPT, DALL·E, and beyond.

Module 1: Introduction to Artificial Intelligence

• Overview of AI—what it is, how it has evolved, and where it’s headed

• Differences between narrow AI, general AI, and AGI

• Real-world applications across industries: healthcare, finance, education, e-commerce

Module 2: Machine Learning Fundamentals

• How machines learn from data

• Supervised, unsupervised, and reinforcement learning concepts

• Key algorithms: linear regression, decision trees, clustering

• Training, evaluating, and improving ML models

Module 3: Deep Learning & Neural Networks

• Basics of neural networks: perceptrons and activation functions

• Multi-layered architectures: CNNs and RNNs

• Applications in image recognition and natural language processing

• Frameworks: TensorFlow, PyTorch

Module 4: Natural Language Processing (NLP)

• How machines process and generate human language

• NLP tasks: sentiment analysis, text classification, summarization

• Core techniques: tokenization, vectorization, embeddings

• Libraries: spaCy, Hugging Face Transformers

Module 5: Introduction to Generative AI

• What Generative AI is and its applications

• Basics of GANs (Generative Adversarial Networks)

• Transformer-based generative models

• How these models are trained to produce human-like outputs

Module 6: Working with ChatGPT & Large Language Models

• How ChatGPT and LLMs function using transformer architecture

• Prompt engineering for accurate, context-rich responses

• Practical applications: content automation, customer support, data analysis

Module 7: Image Generation using Generative Models

• Tools: DALL·E, Midjourney, Stable Diffusion

• Training generative models on image datasets

• Customizing outputs for creativity and commercial use

• Applications of generative art and design

Module 8: Ethics, Limitations & Future of AI

• Ethical considerations: bias, data privacy, misinformation, AI safety

• Current limitations of AI and generative tools

• Future directions and impact on society

• Importance of responsible AI development and deployment

Benefits:

This course provides a solid foundation in both traditional AI and the fast-growing field of generative AI. With hands-on exposure to tools and models, you'll be equipped to innovate, automate, and create using intelligent systems that are reshaping the future.

Who Should Enroll:

Ideal for developers, testers, analysts, product managers, and anyone curious about how AI works and how it can be applied in real-world contexts. No heavy math required—just a logical mind and willingness to explore.

Enroll Today!

Artificial Intelligence is transforming every industry, and generative models are leading the charge. Whether you're looking to build smarter apps or automate tasks creatively, this course empowers you with the knowledge and tools to make it happen. Begin your AI journey today!