Next cohort begins on 1st September 2025 | Submit your application today | Top 40 applications will be accepted for next cohort | Best 3 candidates in each Cohort gets 100% sponsored mentorship.
Generative AI
Transform your career in just 10 weeks with Generative AI
Limited Batch
Live Data
Real Client
On Job Experience
Who Can Benfit From The Program?
Business Intelligence Skills Using Power BI Can Benefit A Wide Range Of Individuals And Organizations Including:
Students: Aiming a career in Data Science
Working Professional: Wants to transform over to Data Science Domain.
Freelancer: Looking for opportunities to upskill and network in Analytics Domain
Human Resource Professionals: Who want to analyze employee data to identify trends and opportunities for improvement.
Finance Professionals: Who want to track and analyze financial data to make better business decisions.
Business Managers: For intelligent decision making in their operations.
Data Analysts: Who are upskilling their business analytical skills.
Enrepreneurs & C-Level Executives: Wanting to scale their business using BI strategies.
Sales Professionals: Who want to analyze sales data to identify trends and opportunities.
Marketing Professionals: Who want to track and analyze marketing data to improve campaign performance.
Introduction to Generative AI
Overview: Understanding generative models and their significance.
Types of Generative Models: Explicit vs. implicit density models.
Basic Concepts in Generative AI
Probability Distributions: Role of probability in generative modelling.
Generative vs. Discriminative Models: Key differences and use cases.
Generative Adversarial Networks (GANs)
GAN Architecture: Understanding the generator and discriminator networks.
Training GANs: Challenges like mode collapse and techniques like Wasserstein GANs.
Variational Autoencoders (VAEs)
VAE Architecture: Encoder, decoder, and latent space.
Applications: Generating new data points and feature extraction.
Autoregressive Models
Examples: PixelCNN, PixelRNN, and their applications in image generation.
Sequence Generation: Models like GPT and their use in text generation.
Diffusion Models
Basics: How diffusion processes are used in generative modelling.
Applications: Generating highquality images and audio through diffusion techniques.
Transformers in Generative AI
Transformer Architecture: Self attention mechanism and its role in generative tasks.
Applications: Language models like GPT3, ChatGPT, and texttoimage models.
Ethics and Bias in Generative AI
Ethical Considerations: Potential misuse, deepfakes, and misinformation.
Bias in Generative Models: Addressing data bias and ensuring fairness.
Applications of Generative AI
Creative Industries: Art, music, and content creation using generative models.
Healthcare: Drug discovery, medical image synthesis, and personalized medicine.
Future of Generative AI
Emerging Trends: Multimodal generative AI, model interpretability, and scalability.
Research Directions: Advances in efficiency, ethics, and real-time applications.
Program Certificate
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Program Certificate
Meet Our Experts
VINAY BORHADE
Founder | Chief Data Scientist
MOHIT JAIN
PM | Data Scientist
AKASH POL
AI Mentor
How It Works?
1.Application Process
Apply for Program via dedicated link to show your interest
