Generative AI  /  Beginner to Mastery

Advanced AI & Generative AI

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Course Duration

400 Hours

 

Course Material

Live. Online. Interactive.

Master generative AI, GANs, and RAG methods.

Connect with peers and industry leaders.

Earn a recognized certification that boosts career prospects.

Comprehensive curriculum covering Python, machine learning, deep learning, NLP, and computer vision.

KEY HIGHLIGHTS OF ADVANCED AI & GENERATIVE AI PROGRAM

1) Weekly sessions with industry professionals

2) Dedicated Learning Management Team

3) 400 hours of hands-on learning experience

4) Over 145 hours live sessions spread across 05 – 06 months

5) 145 hours of self-paced Learning

6) Learn from Industry Experts.

🔺More than 50+ industry-related projects and case studies

🔺24*7 Support

🔺1:1 Mock Interview

🔺Designed for both working professionals and fresh graduates

🔺Competitive Edge and Innovation

🔺 Personalised mentorship sessions with industry experts

🔺Dedicated Learning Management Team

🔺No-Cost EMI Option

🔺High Demand and Career Opportunities

🔺Problem-Solving and Critical Thinking

WHY JOIN ADVANCED AI & GENERATIVE AI PROGRAM?

Hands-On Learning

Gain practical experience with advanced tools like GPT, DALL-E 2, and Hugging Face Transformers.

Comprehensive Skill Set

Master everything from Python programming to cutting-edge AI techniques.

Stay Ahead

Learn the latest AI and generative technologies shaping the future.

Career Advancement

Boost your qualifications and open doors to advanced AI role

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Advanced AI & Generative AI 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.

ENROLL NOW, BOOK YOUR SEAT & AVAIL UPTO 30% FEE WAIVER

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Advanced AI & Generative AI 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.

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Why Learn Advanced AI & Generative AI ?

MASTER PYTHON & DATA ANALYSIS

Gain proficiency in Python, statistical analysis, and data visualization to effectively explore and understand data.

BUILD PREDICTIVE MODELS

Learn machine learning and deep learning techniques to create intelligent systems for accurate predictions.

UNLOCK DATA POTENTIAL

Discover hidden patterns through data analysis and feature engineering to drive informed decision-making.

EXPLORE ADVANCED AI

Dive into deep learning, NLP, and reinforcement learning to design solutions for complex tasks.

HANDS-ON WITH GENERATIVE AI

Develop skills with tools like DALL·E 2, MidJourney, and GANs for creative image generation and data synthesis.

INNOVATE WITH LLMS & LANGCHAIN

Leverage Large Language Models, GPT, and LangChain to create and manage cutting-edge AI applications.

ENHANCE COMMUNICATION

Effectively convey complex information and findings using data visualization techniques.

DRIVE INNOVATION

Contribute to the development of cutting-edge technologies and solutions through a deep understanding of these tools.

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.

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Advanced AI & Generative AI program Certifications

Advanced AI & Generative AI 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 & Generative AI Skills Covered

Advanced AI & Generative AI Tools Covered

Advanced AI & Generative AI Program Benefits

Cutting-Edge Knowledge
Stay updated with the latest AI advancements, tools, and frameworks.

 

Hands-On Experience
Work on real-world projects to apply your knowledge practically.
Comprehensive Learning
Gain in-depth understanding of AI concepts, methodologies, and use cases.
Expert Support
Learn directly from experienced industry professionals and mentors.
Networking Opportunities
Connect with peers and experts to expand your professional network.
Practical Applications
Develop the ability to create and deploy AI solutions that can be applied across various industries.
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Advanced AI & Generative AI Program Benefits

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.