Advanced AI and Generative AI Program
August 14, 2024 2024-12-14 18:31Advanced AI and Generative AI Program
Advanced AI and Generative AI Program
Learn advanced tools like GPT, DALL-E 2, and Hugging Face Transformers.
Comprehensive curriculum covering Python, machine learning, deep learning, NLP, and computer vision.
Gain practical experience through real-world projects.
Learn from seasoned professionals with industry and research backgrounds.
Enhance skills and open doors to advanced AI roles.
Master generative AI, GANs, and RAG methods.
Connect with peers and industry leaders.
Earn a recognized certification that boosts career prospects.
Key Highlights of Advanced AI and Generative AI Program
Weekly sessions with industry professionals
Dedicated Learning Management Team
400 hours of hands-on learning experience
Over 145 hours live sessions spread across 05 - 06 months
145 hours of self-paced Learning
Learn from Industry Experts.
More than 50+ industry-related projects and case studies
Personalised mentorship sessions with industry experts
24*7 Support
Dedicated Learning Management Team
1:1 Mock Interview
No-Cost EMI Option
Designed for both working professionals and fresh graduates
High Demand and Career Opportunities
Competitive Edge and Innovation
Problem-Solving and Critical Thinking
Weekly sessions with industry professionals
Dedicated Learning Management Team
400 hours of hands-on learning experience
Over 145 hours live sessions spread across 05 - 06 months
145 hours of self-paced Learning
Learn from IIT Faculty & Industry experts
More than 50+ industry-related projects and case studies
Personalised mentorship sessions with industry experts
24*7 Support
Dedicated Learning Management Team
1:1 Mock Interview
No-Cost EMI Option
Designed for both working professionals and fresh graduates
High Demand and Career Opportunities
Competitive Edge and Innovation
Problem-Solving and Critical Thinking
Learn from Industry Experts.
Why Join Advanced AI and Generative AI Program?
Advanced AI and Generative AI Program Overview
This Program offers a deep dive into fundamental AI technologies, Python programming languages and essential libraries for machine learning image processing etc. Participants will learn cutting-edge tools such as Hugging Face Transformers, GPT, DALL-E 2.0, MidJourney, GANs, RAG, LangChain. The curriculum integrates theoretical understanding with real-world use-cases to develop a skills-rich ecosystem capable of utilizing AI and generative technologies at an advanced level.
Advanced AI and Generative AI Program Objectives
The course aims to provide participants a thorough understanding of AI technologies with its more high-level programming side. After completing this, the student will be proficient in python programming and have experience working with Hugging Face Transformers, GPT, DALL-E 2, MidJourney. Then they can integrate those levels of solutions into their AI application. And will be equipped with hands-on experience on GANs, RAG and LangChain to face the complex challenges & innovations in the AI community.
Why Learn Advanced AI and Generative AI Program?
Program Advantages
Industry-relevant skills in high-demand AI technologies like GPT, DALL-E 2, and Hugging Face Transformers.
Comprehensive curriculum covering Python programming to advanced AI techniques such as GANs and RAG.
Hands-on experience through real-world projects and applications.
Expert guidance from experienced instructors in AI and generative technologies.
Enhanced career opportunities with skills valued in the tech industry.
Industry-relevant skills in high-demand AI technologies like GPT, DALL-E 2, and Hugging Face Transformers.
Comprehensive curriculum covering Python programming to advanced AI techniques such as GANs and RAG.
Hands-on experience through real-world projects and applications.
Expert guidance from experienced instructors in AI and generative technologies.
Enhanced career opportunities with skills valued in the tech industry.
Advanced AI and Generative AI Program Certification
Data Science Learning Path/Curriculum
Module 01 - Python
Lecture 01: Introduction to Python
Lecture 02: Operators and Conditional Statements
Lecture 03: Lambda Functions, *args, **kwargs, Functions
Lecture 04: Data Structures - List, Tuple, and List Comprehensions
Lecture 05: Data Structures - Set and Dictionaries
Lecture 06: Classes, Objects and Constructors, Inheritance
Lecture 07: Polymorphism, Abstraction and Encapsulation
Lecture 08: Connecting to Databases
Lecture 09: Introduction to Numpy and Pandas
Lecture 10: Introduction to Seaborn and Matplotlib
Module 02 - Statistics
Lecture 11: Introduction to Statistics
Lecture 12: Variance, Range, IQR, Outliers
Lecture 13: Probability Distributions
Lecture 14: Normal Distribution, Type I & Type II Error
Lecture 15: T-test, Z-test, Hypothesis Testing
Module 03 - Machine Learning
Lecture 16: Introduction to ML
Lecture 17: Regression Techniques
Lecture 18: Error Metrics
Lecture 19: Classification Report and AUC ROC
Lecture 20: Unsupervised Learning Techniques
Module 04 - Deep Learning
Lecture 21: Introduction to Neural Networks
Lecture 22: Activation Functions and Optimizers
Lecture 23: Gradient Descent Methods
Lecture 24: Time Series Analysis
Lecture 25: ARMA and ARIMA
Lecture 26: Project Session
Lecture 27: Orientation Session (Introduction to AI)
Module 05 - Computer Vision
Lecture 28: Introduction to Image Processing
Lecture 29: Convolution, Padding, Pooling
Lecture 30: Forward & Backward Propagation for CNN
Lecture 31: CNN Architectures
Module 06 - NLP
Lecture 32: Introduction to Text Mining
Lecture 33: Sentiment Analysis & Topic Modeling
Lecture 34: BERT and Text Classification
Lecture 35: Automatic Speech Recognition & Web Scraping
Module 07 - RL
Lecture 36: RL Framework
Lecture 37: Types of RL Systems
Lecture 38: Project Session
Lecture 39: Orientation Session (Introduction to Gen AI)
Module 08 - Introduction to Gen AI & Huggingface Transformers
Lecture 40: Introduction to AI
Lecture 41: Introduction to Huggingface Transformers
Lecture 42: Feature Engineering
Lecture 43: NLP Applications using Huggingface
Module 09 - Language Models and Transformer Models
Lecture 44: Understanding Language Models
Lecture 45: Types of Models and Attention Mechanism
Module 10 - Large Language Models (LLMs)
Lecture 46: Introduction to LLMs
Lecture 47: Other Types of Generative AI Algorithms
Lecture 48: Hands-on Practice with Huggingface
Lecture 49: Applications of Generative AI in Business
Module 11 - Langchain, AI Application Stack and Ethical Considerations
Lecture 50: Langchain and Custom Chatbots
Lecture 51: AI Application Stack
Lecture 52: Ethical Considerations in AI
Lecture 53: Project Session
Advanced AI and Generative AI Program Skills Covered
Data Analysis
Data Manipulation,
Statistical Analysis
Data Visualization
Machine Learning
Model Evaluation
Feature Engineering
Neural networks
Transfer learning
Deep Learning
Computer Vision techniques
Image Processing
Text Processing
Sentiment Analysis
Language Modelling
Reinforcement Learning Algorithms
Advanced NLP Techniques
Transformer Architectures
Text Generation & Comprehension
Creative Image Generation
Synthetic Data Creation
Enhanced Language Models
AI Application Development
Retrieval-Augmented Generation (RAG)
Advanced AI and Generative AI Program Tools Covered
Advanced AI and Generative AI Program Program Benefits
Projects that you will Work On
Machine Learning
No. of Projects:10
Deep Learning
No. of Projects:10
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Job Obligation after this course
We can apply for jobs inÂ
Develop and deploy AI models and algorithms for various applications.
Continuously optimize machine learning and deep learning systems.
Analyze data and extract actionable insights to drive business decisions.
Create and manage AI-driven products, ensuring they meet user needs and business goals.
Stay updated with the latest advancements in AI and apply them to improve existing solutions.
Collaborate with cross-functional teams to integrate AI technologies into business operations.
Troubleshoot and resolve issues related to AI models and systems.
Contribute to AI research and innovation within the organization or industry.
Ensure ethical and responsible use of AI technologies in all applications.
Companies Hiring for this course
Batch Professional Profiles
Program Advisors
IITs
IIMs
NITs
Experts from the IT Industries.
Admission Details
The application process consists of three simple steps. An offer of admission will be made to selected candidates based on the feedback from the interview panel. The selected candidates will be notified over email and phone, and they can block their seats through the payment of the admission fee.
Course Fees & Financing
Course Fees
(Inclusive Of All Taxes)
Payment Partners
We partnered with financing companies to provide competitive finance option at 0% interest rate with no hidden costs
Upcoming Batches/Program Cohorts
| Batch | Date | Time | Batch Type |
|---|---|---|---|
| Online Live Instructor Led Session | 2nd November 2024 | 10:00 AM | Full-Time |
| Online Live Instructor Led Session | 10th November 2024 | 02:00 PM | Part-Time |
Comparison with Others
| Feature | Our Course | Competitor A | Competitor B |
|---|---|---|---|
| Curriculum Scope | Comprehensive: Python, ML, DL, NLP, CV, Generative AI | Basic ML and DL focus | General AI with less focus on Generative AI |
| Hands-On Experience | Extensive practical projects with tools like GPT, DALL-E 2 | Limited practical projects | Hands-on projects mainly in traditional AI |
| Advanced Tools | GPT, DALL-E 2, MidJourney, Hugging Face Transformers, GANs, RAG, LangChain | Focus on traditional ML frameworks | Emphasis on standard ML and AI tools |
| Instructor Expertise | Experienced professionals with industry and research background | Mix of industry and academic instructors | Primarily academic-focused instructors |
| Real-World Applications | Emphasis on real-world problem solving and innovation | Mostly theoretical applications | General applications with less focus on innovation |
| Career Support | Strong focus on career advancement and networking | Basic career services | Limited career support and networking opportunities |
| Networking Opportunities | Connect with peers and industry leaders | Limited networking events | Few networking opportunities |
| Certification Value | Recognized certification for advanced AI roles | Standard certification | General certification with less industry recognition |
Advanced AI and Generative AI Program Training Faqs
The Advanced AI and Generative AI Program teaches advanced AI techniques and generative models, including deep learning, GANs, and transformers, to develop cutting-edge AI solutions and innovations.
Join the course to master advanced AI techniques and generative models, driving innovation and solving complex problems in AI.
1.Advanced AI techniques
2.Generative models (e.g., GANs, transformers)
3.Hands-on projects
4.Expert instruction
2.Generative models (e.g., GANs, transformers)
3.Hands-on projects
4.Expert instruction
duration of each lecture of 3 houre.
INR Fees(Exclusive of GST) : INR 289,999.00 INR Fee(Inclusive of GST) : INR 342,199.00 USD Fee: 3475(subject to be changed).
to Lead complex data science projects, advance AI research.
