Generative AI SPECIALIZATION Course
Perks of the Generative AI Specialization Course
Program Overview
Who Is This Program For?
Course learning objectives
Skills you'll gain
PyTorch
Flexible Framework for Deep Learning
PyTorch is one of the most popular frameworks for developing deep learning models. Its dynamic nature makes it popular for research and production, helping users build neural networks for various applications like image recognition and NLP.
AI Architectures & Fine-Tuning
Master Advanced AI Models & Techniques
In this course, you'll explore the latest AI architectures and their fine-tuning techniques, gaining hands-on experience with state-of-the-art models used in industries such as healthcare, finance, and language generation.
LLama3
What it is
LLaMA3 is Meta’s newest language model designed for long-form text generation, translation, and NLP tasks. It supports over 30 languages and has been trained on 15 trillion tokens, making it more efficient and accurate than its predecessor.
Fine-Tuning
With LoRA (Low-Rank Adaptation) and RAG (Retrieval-Augmented Generation), LLaMA3 can be fine-tuned to respond with greater relevance and efficiency, using fewer computational resources.
Applications
Used in NLP tasks like chatbots, language translation, and text summarization.
Mistral
What it is
Mistral is optimized for domain-specific tasks in industries like finance and healthcare, where precision is crucial. Its specialized fine-tuning capabilities make it adaptable to smaller, more niche applications.
Fine-Tuning
Mistral uses LoRA to minimize computational resources while enhancing its domain-specific outputs.
Applications
Ideal for medical diagnoses, financial risk assessments, and other specialized tasks.
Gemini
What it is
Gemini is an emerging model from Google DeepMind, offering advanced capabilities in both multimodal and language-based tasks. It integrates vision, language, and reasoning into one model, allowing it to excel in tasks like image understanding alongside text generation.
Fine-Tuning
Mistral uses LoRA to minimize computational resources while enhancing its domain-specific outputs.
Applications
Creative content generation, autonomous agents, and complex decision-making systems.
Fine-Tuning Techniques Explained
LoRA (Low-Rank Adaptation)
What it is
LoRA fine-tunes large models by focusing on specific layers, reducing training time and resources. This technique allows for faster, more efficient fine-tuning of massive models like LLaMA3 and Gemini.
Fine-Tuning
Why it matters: LoRA is perfect for businesses looking to fine-tune AI models with limited resources, making the technology more accessible.
RAG (Retrieval-Augmented Generation)
What it is
RAG improves AI model outputs by retrieving relevant information from external sources. This makes the model more contextually aware, resulting in higher-quality answers and responses.
Fine-Tuning
Why it matters: It’s ideal for customer service, research, and other applications where up-to-date information is crucial.
What Sets Us Apart?
Feature | Our Program | Other Courses |
---|---|---|
Expert-Led Sessions | ✔ 24 weeks of instruction from top-tier professionals with industry experience | ✘ Often lack guidance from seasoned experts, relying on less experienced instructors |
Flexible Learning Options | ✔ Accessible 24/7 with over 150 hours of on-demand content | ✘ Limited accessibility and rigid learning schedules |
Practical Assessments | ✔ 15 practical assessments for hands-on practice | ✘ Minimal practical exposure and hands-on opportunities |
Real-World Assignments | ✔ Engage in 14+ real-world assignments directly linked to industry challenges | ✘ Minimal practical exposure and hands-on opportunities |
Live Doubt-Clearing Sessions | ✔ 11 live sessions with experts for doubt resolution | ✘ Limited opportunities for real-time support and query resolution |
Capstone Projects | ✔ 2-3 capstone projects applying skills to real-world problems | ✘ Few or no chances to work on substantial, real-world projects |
Live Interviews | ✔ 5 mock interviews to prepare you for the real world | ✘ Lack of structured live interview preparation |
Mock Interviews | ✔ 10 mock interviews to prepare for real job scenarios | ✘ Lack of structured mock interview preparation |
Career and Placement Support | ✔ Comprehensive support for job placements, including resume reviews and salary negotiation tips | ✘ Often lack continuous support for career advancement and placement |
- Refund of up to 70% if you don’t get placed within 10 months (maximum refund ₹49,000).
Additional Benefits:
- Job Assistance: Our program ensures support until you secure a role. 100% Placement Program: We are fully committed to helping you find the right opportunity.
- Real-World Projects: Gain hands-on experience with projects based on real industry scenarios.
- Comprehensive Curriculum: Gain expertise in generative AI across text, image, and audio applications, including multimodal AI.