Name: Generative AI Course in Portland
Brand: Henry Harvin® Education
SKU: 2013
Price: 499 USD
Availability: InStock
Rating: 4.8 (3251 reviews)

Module 1: Introduction to Generative AI
- What is Generative AI?
  - Definition, history, and real-world impact.
- Generative Models Overview
  - Types: GANs, VAEs, Transformers, Diffusion Models.
  - Comparisons and use cases.
- Ethics and Limitations
  - Bias, fairness, and ethical AI principles.
  - Case studies on responsible AI.
- Tools and Frameworks Overview
  - Setup: Python, TensorFlow, PyTorch, and Hugging Face.
  - Tour of available pre-trained generative models.
- Generative AI Workflow
  - Data collection and preprocessing.
  - Model training, evaluation, and deployment overview
Module 2: Core Generative Models
- Variational Autoencoders (VAEs)
  - Concept: Latent space and reconstruction.
  - Hands-on: Build a simple VAE for generating digit images (MNIST).
- Generative Adversarial Networks (GANs)
  - Fundamentals: Generator-Discriminator interaction.
  - Advanced GAN types: Conditional GANs and StyleGAN.
  - Hands-on: Train a GAN for custom image generation.
- Transformers and Large Language Models (LLMs)
  - Transformer architecture: Self-attention mechanism.
  - Case study: GPT (overview and working).
  - Hands-on: Fine-tune a transformer for text summarization or Q&A
Module 3: Applications of Generative AI
- Text Applications
  - AI for content creation: Summarization, translation, and chatbot design.
  - Hands-on: Fine-tune an LLM for text completion or dialogue generation.
- Image Applications
  - Techniques: Image synthesis, editing, and style transfer.
  - Hands-on: Create unique images using GANs and diffusion models (e.g., Stable Diffusion).
- Audio and Video Applications
  - Audio generation: Speech synthesis and music creation.
  - Hands-on: Generate synthetic voices using pre-trained models.
- Custom Use Case Exploration
  - Brainstorming and implementing a use case in healthcare, marketing, or gaming.
  - Group discussions on industry-specific challenges.
Module 4: Deployment, Future Trends, and Capstone Project
- Deployment of Generative Models
  - Techniques: Model optimization, containerization, and API creation.
  - Hands-on: Deploy a generative model with Flask or FastAPI.
- Emerging Trends and Future of Generative AI
  - Multimodal models like CLIP and GPT-4 Vision.
  - Advances in efficiency (e.g., LoRA, quantization, distributed training).
- Capstone Project Showcase
  - Participants work on a guided mini-project based on their chosen domain.
  - Present and receive feedback on their projects
Complimentary Module 1: Soft Skills Development
- Business communication
- Preparation for the Interview
- Presentation Skills
Complimentary Module 2: Resume Writing
- Resume Writing

Generative AI Course in Portland

25 Nov 2024

30 Hours

25 Nov 2024

30 Hours

Book a Live Class, For Free!

Accreditations & Affiliations

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Key Highlights

32 Hours of Two-Way Live Instructor-Led Sessions

11 Hours of Live Interactive Doubt Solving Sessions

6 Hours of Live Master Sessions by Industry Experts

192 Hours of Self-Paced Learning

Job-Ready Portfolio of 4 Capstone Projects

34 Auto-Graded Assessments

8+ Industry Case Studies

48 Guided Hands-On Exercises

5+ Assignments and Mini Projects

2 Mock Interviews and 4 Hackathons

Get 1-Year Gold Membership of Henry Harvin® School of Data Science & Analytics

Get a guaranteed Internship with Henry Harvin® and in top MNCs like J.P. Morgan, Accenture & many more via Forage

Get 3 in 1 Placement support through Placement Drives, Premium access to Job portal & Personalized Job Consulting

8 Hours of Mentorship by Industry Experts

Earn Certification of Course from Henry Harvin®, Govt of India recognized & Award-Winning Institute and NSDC Certification

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Access the best jobs in the industry

You Get 10-In-1 Program

About Generative AI Course in Portland

Generative AI Course

AGOTA™ Framework

Trainers at Henry Harvin®

Alumni Status

Gold Membership Benefits

Learning Benefits

Curriculum For Generative AI Course in Portland

Module 1: Introduction to Generative AI

Module 2: Core Generative Models

Module 3: Applications of Generative AI

Module 4: Deployment, Future Trends, and Capstone Project

Complimentary Module 1: Soft Skills Development

Complimentary Module 2: Resume Writing

Admission Closes On 25 Nov 2024

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What you'll Learn in this course

Generative Models

Ethics and Limitations

Tools and Frameworks

Variational Autoencoders

Generative Adversarial Networks (GANs)

Transformers and Large Language Models (LLMs)

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