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Starting Date - Ending Date
06/01/2025 - 30/04/2025 -
Program duration
16 weeks (10hrs / Week) -
Learning Format
Live, Online, Interactive
Why Join this Program ?
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Focus on Industry-Relevant Skills
Master state-of-the-art tools like TensorFlow, PyTorch, Hugging Face, LangChain, and vector databases, tailored to meet industry demands for AI and Generative AI roles.
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Portfolio-Worthy Projects and Deployment
Build portfolio-ready projects like image classifiers, object detection, GANs, LLMs applications, chatbots, and multi-modal apps with deployment-ready APIs to showcase expertise to employers.
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Career Growth Opportunities
Unlock AI career opportunities with tailored upskilling to stand out, transition, or excel in the rapidly growing AI job market.
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Networking with Like-Minded Professionals
Join a vibrant community of learners, AI enthusiasts, and industry experts. Build meaningful connections, exchange ideas, and collaborate on projects that could lead to future opportunities.
Overview of Generative AI
Key Features
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Earn two certificates to validate your generative AI skills.
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50+ exercises and 16+ industry projects.
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From Python programming to Advanced Generative AI, LLMs and Multi-modal AI.
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100+ hours of expert-led, interactive sessions.
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LLM fine-tuning, RAG, and scalable generative models with deployment.
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Experience with Pytorch, Tensorflow, LLAMA Models, Hugging Face, Langchain, etc.
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3 days of classes along with exercises and projects at each week with doubt solving sessions.
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Build a complete Generative AI projects for realworld impact.
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Esteemed professors and industry experts will join to address your queries, provide valuable insights, and guide you in shaping your career path.
Certifications
Syllabus & Learning Path
Learning Path
Introduction to Artificial Intelligence & Python Programming
Machine Learning Fundamental
Fundamentals of Deep Learning
Introduction to Natural Language Processing (NLP)
Overview of Generative Models
Deep Dive into Transformer Models
Text-to-Text & Text-to-Image Generative Models
Introduction to Style Transfer and Advanced GANs
Optimizing Generative Models for Inference
Fine-Tuning Large Language Models (LLMs)
Retrieval-Augmented Generation (RAG)
Multi-Modal Generative AI
API Development for Generative Models
Scaling AI Models for Production
Deployment and Optimization
Monitoring and Maintenance
17+ Skills Covered
- Python Programming
- Foundations of Machine Learning
- Core Principles of Artificial Intelligence
- Deep Learning and Neural Networks
- Natural Language Processing (NLP) Techniques
- Generative Models and Applications
- Transformer-Based Architectures
- Text-to-Text and Text-to-Image Generation
- Advanced Style Transfer Techniques
- Generative Adversarial Networks (GANs) and Variations
- Model Optimization and Computational Efficiency
- Fine-Tuning and Customization of Large Language Models
- Retrieval-Augmented Generation (RAG) Techniques
- Multi-Modal Generative AI Applications
- API Design for Generative Models
- Production-Scale AI Model Scaling
- Efficient Deployment and Model Optimization
10+ Tools Covered
Program Instructor
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Mr. Yash Patel ( Gold Medalist in AI )
Professor, Corporate Trainer, Instructor & Senior Data ScientistMr. Yash Patel is a seasoned Senior Data Scientist with over 8 years of experience specializing in Artificial Intelligence, Machine Learning, Deep Learning, Natural Language Processing (NLP), Computer Vision (CV), and Generative AI. Throughout his career, he has successfully led cutting-edge projects, applying advanced technologies to solve real-world challenges. His extensive experience includes serving as a Chief Technology Officer and Senior Data Scientist, where he delivered impactful solutions across various industries.
Beyond his professional achievements, Mr. Patel is a dedicated educator who has trained numerous professionals and students. As an instructor, professor, and corporate trainer, he is passionate about sharing his knowledge and expertise. His teaching approach emphasizes clarity, handson learning, and practical application, ensuring that learners not only grasp core concepts but are also equipped to excel in the dynamic field of AI and Data Science. His excellence experience makes him the ideal mentor for aspiring AI professionals.
Admission Application Process
STEP 1
Click On Apply Now & Fill Out The Google Form
Fill out the Training Program's Google Form with accurate and complete details to ensure a seamless registration process.
STEP 2
Payment & Upload Payment Confirmation
Scan the QR Code: Make the payment using the QR code provided in the form or use the UPI ID to transfer fees through the mentioned UPI ID and Take a screenshot of the successful payment message.
STEP 3
Complete Registration
Once the payment confirmation is uploaded, submit the form to finalize your registration. You will receive a receipt within 24 hours on your registered WhatsApp number or email address.
Admission Fee & Financing
The admission fee for this program is ₹ 9999.00 (Incl. taxes).
Total Program Fee
₹ 9999.00
Fees And Refund Policy
All fees must be paid in one installment prior to the commencement of the program.
Fees are non-refundable once paid, except in the case where the training program is canceled by us. In such an event, 100% of the paid fees will be refunded without any additional charges.
Refunds will not be provided for participants who withdraw voluntarily or fail to attend the program after the payment is made.
Participants are responsible for ensuring timely payment to secure their enrollment.
Admission Closes On: 31st December , 2024
Apply NowProgram Schedule
The admission fee for this program is ₹ 9999.00 (Incl. taxes).
FAQs
The admission fee for this program is ₹ 9999.00 (Incl. taxes).
When do I need to pay the program fees?
Are the fees refundable if I decide to withdraw from the program?
What happens if the program is canceled by the organization?
What if a weekly syllabus is not completed on time?
Can the schedule or trainers be changed during the program?
Does the program guarantee job placement?
What happens if I miss a class?
What behavior is expected during the program?
What technical setup do I need for online sessions?
What happens if the program is disrupted by unforeseen events?
Can the policies be updated during the program?