Generative AI Course Syllabus
duration
2-3 Months
EMI
0% Interest
Mode
Live Online / Offline
Join our Generative AI Training in Chennai with Placement at SLA Institute to learn key skills such as Python programming, regression, classification, decision trees, clustering, dimensionality reduction, neural networks, Convolutional Neural Networks (CNNs), Recurrent Neural Networks (RNNs), transformers, Generative Adversarial Networks (GANs), Variational Autoencoders (VAEs), Large Language Models (LLMs), TensorFlow, PyTorch, Scikit-Learn, Hugging Face Transformers, Data Cleaning and Preprocessing, Data Visualization Techniques, Big Data Technologies, and so on.
GET YOUR JOB ELIGIBILITY REPORT
Let's take the first step to becoming an expert in
Click Here to Get Started
100% Placement Assurance
Get Certified
Course Syllabus
Download SyllabusModule 1: Introduction to Artificial Intelligence
- Definition and history of AI
- Different types of AI (narrow, general, super)
- AI vs. Machine Learning vs. Deep Learning
- Supervised, unsupervised, and reinforcement learning
- Applications of AI in various fields
Module 2: Foundations of Generative AI
- Introduction to deep learning and neural networks
- Key concepts: activation functions, backpropagation, gradient descent
- Different types of neural networks (CNNs, RNNs, transformers)
- Generative vs. discriminative models
Module 3: Generative Adversarial Networks (GANs)
- Core concepts of GANs: generator and discriminator
- Training process and challenges
- Applications of GANs: image generation, style transfer, data augmentation
Module 4: Variational Autoencoders (VAEs)
- Introduction to VAEs and their architecture
- Encoding and decoding process
- Applications of VAEs: anomaly detection, dimensionality reduction, data generation
Module 5: Diffusion Models
- Understanding the diffusion process
- Forward and reverse diffusion
- Applications of diffusion models: image generation, text generation, audio synthesis
Module 6: Applications of Generative AI
- Image generation and manipulation
- Natural language processing (text generation, translation, summarization)
- Music composition and audio generation
- Drug discovery and materials science
- Other emerging applications
Module 7: Ethical Considerations and Future Directions
- Ethical implications of Generative AI: bias, misinformation, job displacement
- Responsible AI development and deployment
- Future trends and research directions in Generative AI
In conclusion, the Generative AI Course Syllabus at SLA Institute teaches you the basics and uses of AI. You get to learn by doing, with learning, NLP, and computer vision. This course helps you get ready for a job in AI, data science, and new tech areas with skills that companies want. The Generative AI Course Syllabus at SLA Institute is really helpful for your career in AI.