Become a Generative AI Engineer

Mastering Generative AI:

From Basics - to Brilliance

Explore the world of Generative AI with our comprehensive Mastering Generative AI Course. Designed to provide in-depth knowledge and practical experience, this course covers foundational concepts like neural networks, deep learning applications, and generative adversarial networks (GANs).

Format:
Self Learning & Live Classes

Duration:
6 Months

Mastering Generative AI Course.

Program Overview

We crafted Mastering Generative AI Course an extensive and ambitious curriculum that spans from Python fundamentals to advanced topics like Generative AI and Large Language Models. It’s clear that you’re aiming to provide a thorough education in data science and machine learning. However, I notice there are some areas where the structure could be optimized to enhance the learning experience.

Engage in practical projects such as breast cancer prediction, flight fare prediction, and leaf disease detection using Pytorch. By participating, you will gain proficiency in tools like Pytorch, NumPy, Pandas, Sklearn, and Matplotlib. Additionally, the course helps you develop skills in deep learning, computer vision, and generative AI techniques through the Mastering Generative AI Course.

  • Job Assistance

    We'll help you find the right opportunities and connect with employers.

  • Weekly Live Sessions

    Stay up-to-date with industry trends and best practices.

  • HR Support

    Get expert help with resume building and mock interviews to ace your applications.

  • Cash Back

    Earn ₹1499 upon project completion and LinkedIn post!

  • Capstone Projects

    Build a portfolio of real-world projects to impress potential employers.

  • Free Hackathon Entry

    Showcase your skills and network with pros (worth ₹1499)!

  • LinkedIn Endorsement

    Boost your profile and get noticed by recruiters.

WHAT WE DO

Core concepts of Mastering Generative AI Course with Capstone Projects

Enroll Today! Join the Mastering Generative AI Course and take your first step towards mastering Generative AI. Limited seats available, so don’t miss out!

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Course Overview (50-60 hours)

6 -33 comprehensive modules Practical projects and hands-on experience Real-world applications and case studies Interactive elements like quizzes and assignments

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Projects Included

Breast Cancer Prediction with ANN Pytorch
Flight Fare Prediction with ANN Pytorch
Leaf Disease Detection using CNN Pytorch
MNIST Digits Generation with Simple GAN
Predicting Sales for FMCG Products

mastering-generative-ai-course pantech

Tools You'll Master

Pytorch: Deep learning framework
NumPy & Pandas: Data manipulation
Sklearn: Machine learning models
TorchVision: Image data handling
Matplotlib & Seaborn: visualization
TensorBoard: Monitoring training
Jupyter Notebook: Interactive coding

mastering-generative-ai-course pantech

Skills You'll Gain

Deep Learning Fundamentals
Pytorch Proficiency
Computer Vision Basics
Generative AI Techniques
Machine Learning Expertise
Data Preprocessing
Model Evaluation
Python Programming

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Certification

After completing the course, participants will receive a certificate that showcases their expertise in generative AI and deep learning. This certification aims to boost your career prospects in this rapidly evolving field.

Mastering Generative AI Course: From Fundamentals to Advanced Applications

Unlock the Future of AI with Our Mastering Generative AI Course
Join Pantech eLearning’s industry-leading Generative AI course designed to transform you into a skilled AI developer. Whether you’re a beginner or a professional, this program covers generative adversarial networks (GANs), variational autoencoders (VAEs), Transformer models, and cutting-edge tools like TensorFlow, PyTorch, ChatGPT, and DALL-E.

Why Enroll in This Generative AI Training?

  • Comprehensive Curriculum: Master AI fundamentals to advanced techniques, including NLP, deep learning, and neural networks.
  • Hands-On Projects: Build real-world applications like image generation, text synthesis, and AI-driven creativity tools.
  • Expert-Led Training: Learn from instructors with industry experience in AI research and development.
  • Globally Recognized Certification: Validate your skills with a certificate to showcase on LinkedIn or resumes.
  • Career Support: Unlock roles in AI development, machine learning engineering, and data science.

Course Highlights

  • In-Demand Tools: Gain proficiency in TensorFlow, PyTorch, Keras, and OpenAI platforms.
  • Advanced Concepts: Dive into GANs, VAEs, Transformer architectures, and diffusion models.
  • Real-World Applications: Create chatbots, art generators, and predictive models.
  • Ethics & Best Practices: Understand responsible AI deployment and industry standards.
  • Day 1: Introduction & Setup

    • Getting started with Python installation.

    • Setting up the development environment.

  • Day 2: Python Basics

    • Variables, data types, and basic operations.

    • Control flow statements and loops.

  • Day 3: Python Data Structures

    • Lists, tuples, dictionaries, and sets.

    • Practical exercises on data manipulation.

  • Day 4: Programming Fundamentals

    • Functions and modules.

    • Error handling and debugging.

  • Day 5: Classes and Objects

    • Object-oriented programming concepts.

    • Building reusable code with classes.

  • Day 6: Pandas Library

    • DataFrames, series, and basic methods.

    • Importing/exporting data from various formats.

  • Day 7: Project 1 – Sales Data Analysis

    • Utilizing Pandas for real-world data analysis.

    • Drawing insights from sales datasets.

  • Day 8: Working with NumPy Arrays

    • Understanding arrays and matrices.

    • Mathematical operations with NumPy.

  • Day 9: Data Visualization with Matplotlib and Seaborn

    • Creating aesthetically pleasing plots.

    • Customizing graphs for better storytelling.

  • Day 10: Project 2 – World Population EDA

    • Exploratory Data Analysis on global datasets.

    • Visualizing trends and patterns.

  • Day 11: Introduction to Scikit-Learn

    • Overview of the library and its applications.

    • Data preprocessing techniques.

  • Day 12: Handling Null Values and Outliers

    • Imputation methods.

    • Detecting and treating outliers.

  • Day 13: Feature Scaling and Encoding

    • Normalization and standardization.

    • Encoding categorical variables.

  • Day 14: Machine Learning Algorithms – Part I

    • Linear models: Linear and Logistic Regression.

    • Model training and evaluation.

  • Day 15: Machine Learning Algorithms – Part II

    • SVM, Decision Trees.

    • Understanding model complexities.

  • Day 16: Advanced Algorithms

    • Ensemble methods: Random Forest, Gradient Boosting.

    • Naive Bayes, K-Nearest Neighbors.

  • Day 17: Hyperparameter Tuning & Model Evaluation

    • Grid Search, Random Search.

    • Cross-validation techniques.

  • Day 18: Project 3 – Credit Card Fraud Detection

    • Building a classification model.

    • Dealing with imbalanced datasets.

  • Day 19: Project 4 – Calories Burnt Prediction

    • Regression analysis.

    • Model optimization strategies.

  • Day 20: Project 5 – Music Dataset Clustering & PCA

    • Unsupervised learning concepts.

    • Dimensionality reduction techniques.

  • Day 21: NLP Basics

    • Text preprocessing techniques.

    • Introduction to Natural Language Processing.

  • Day 22: Working with Text Data

    • Regular Expressions (REGEX).

    • Tokenization, stemming, lemmatization.

  • Day 23: Advanced Text Preprocessing

    • Part-of-Speech tagging.

    • Named Entity Recognition.

  • Day 24: Project 6 – Amazon Sentiment Classification

    • Building a sentiment analysis model.

    • Handling large datasets.

  • Day 25: Deep Learning Introduction

    • Neural networks fundamentals.

    • Activation functions and layers.

  • Day 26: Word Embeddings Theory

    • Understanding word vectors.

    • Implementing Word2Vec and GloVe.

  • Day 27: Advanced Preprocessing Techniques

    • Handling sarcasm, context, and ambiguity.

    • Text augmentation strategies.

  • Day 28: RNN and LSTM Architectures

    • Sequence modeling.

    • Dealing with time-series data.

  • Day 29: Project 7 – Next Word Prediction

    • Building predictive text models.

    • Evaluating sequence models.

  • Day 30: Project 8 – Poem Generation

    • Creative applications of RNNs and LSTMs.

    • Fine-tuning for stylistic outputs.

  • Day 31: Introduction to Generative AI

    • Overview of generative models.

    • Applications in various industries.

  • Day 32: PyTorch Basics

    • Tensors and dynamic computation graphs.

    • Building models with PyTorch.

  • Day 33: Deep Learning Concepts

    • Optimizers and loss functions.

    • Backpropagation and weight updates.

  • Day 34: Creating Neural Networks with PyTorch

    • Implementing custom architectures.

    • Debugging and visualization tools.

  • Day 35: Project 9 – Breast Cancer Prediction with ANN

    • Applying neural networks to healthcare data.

    • Interpreting model outputs.

  • Day 36: Computer Vision Basics

    • Image processing fundamentals.

    • Convolution operations.

  • Day 37: TorchVision Library

    • Preprocessing image data.

    • Using pretrained models.

  • Day 38: Convolutional Neural Networks (CNN)

    • Deep dive into CNN architectures.

    • Feature extraction from images.

  • Day 39: Project 10 – Leaf Disease Detection with CNN

    • End-to-end image classification.

    • Deployment considerations.

  • Day 40: GANs Basics

    • Understanding Generative Adversarial Networks.

    • Training GANs effectively.

  • Day 41: Project 11 – MNIST Digit Generation with GAN

    • Hands-on GAN implementation.

    • Evaluating generative models.

  • Day 42: Advanced Generative Models

    • Variational Autoencoders.

    • Conditional GANs.

  • Day 43: Implementing Autoencoders

    • Data compression techniques.

    • Anomaly detection applications.

  • Day 44: Image Generation with GANs

    • Style transfer.

    • Super-resolution imaging.

  • Day 45: Advanced Computer Vision Techniques

    • Object detection and segmentation.

    • Use cases in self-driving cars.

  • Day 46: Transfer Learning for Image Classification

    • Leveraging pretrained models.

    • Fine-tuning techniques.

  • Day 47: Deep Learning Optimizers and Loss Functions

    • Exploring Adam, RMSprop, etc.

    • Custom loss functions for specific tasks.

  • Day 48: Project 12 – Advanced GAN Application

    • Creative project of choice.

    • Pushing the boundaries of GANs.

  • Day 49: Transformers Architecture

    • Revolutionizing NLP with Transformers.

    • Self-attention mechanism.

  • Day 50: Fine-Tuning Pretrained LLMs

    • Working with LLAMA2 and Google Gemini.

    • Customizing models for specific use-cases.

  • Day 51: Project 13 –

    • Chat with Any PDF using LLAMA2

    • Building intelligent document assistants.

    • Parsing and understanding text.

  • Day 52: Project 14 – Blog Generation with LLM

    • Automating content creation.

    • Ethical considerations.

  • Day 53: Project 15 – SQL Query Generation with Google Gemini

    • Bridging AI and databases.

    • Enhancing data accessibility.

  • Day 54: Project 16 – YouTube Video Summarizer App

    • Processing multimedia content.

    • Summarization techniques.

  • Day 55: SEQ to SEQ Models

    • Sequence-to-sequence learning.

    • Applications in translation and summarization.

  • Day 56: Text Summarizer Project

    • Building models to condense information.

    • Evaluating summarization quality.

  • Day 57: Deployment Strategies

    • Serving models in production.

    • API development and microservices.

  • Day 58: Ethics in AI

    • Responsible AI practices.

    • Bias mitigation strategies.

  • Day 59: Career Guidance

    • Building a portfolio.

    • Interview preparation.

  • Day 60: Final Capstone Project Presentation

    • Showcasing your work.

    • Feedback and next steps.

 

Tools Covered

mastering-generative-ai-course pantech

FEATURES

AI Experts Dedicated to Your Success by Mastering Generative AI Course

Delve into the world of Generative AI and deep learning with Pytorch. From foundational concepts to real-world applications, Mastering Generative AI Course covers

  • Neural Networks:

    Understand the basics and build neural networks using Pytorch.

  • Deep Learning Applications:

    Explore Convolutional Neural Networks (CNN) and Generative Adversarial Networks (GAN).

  • Machine Learning Techniques:

    Learn model evaluation, hyperparameter tuning, and handling common issues like missing data and outliers.

  • Hands-on Projects:

    Engage in practical projects like Breast Cancer Prediction, Flight Fare Prediction, and Leaf Disease Detection.

Online Learning with Weekend/Weekday Live classes Mentoring Sessions

__________________

Hands-on

16+ Projects Capstone Project: Advanced GAN Application

In the Mastering Generative AI Course, you will work on real-world projects that enhance your understanding and application of solutions:

Domain: Retail Analytics, Business Intelligence

Technology: Python, Pandas

Trend: Data Analysis, Big Data Handling

Career Relevance: Data Analyst, Business Analyst

Domain: Demographics, Social Research

Technology: Python, Pandas, Matplotlib, Seaborn

Trend: Data Visualization, Statistical Analysis

Career Relevance: Data Analyst, Research Scientist

Domain: Finance, Cybersecurity

Technology: Python, Scikit-Learn, Machine Learning Algorithms

Trend: Fraud Detection using Machine Learning

Career Relevance: Data Scientist, Fraud Analyst, Security Analyst

Domain: Finance, Cybersecurity

Technology: Python, Scikit-Learn, Machine Learning Algorithms

Trend: Fraud Detection using Machine Learning

Career Relevance: Data Scientist, Fraud Analyst, Security Analyst

 

Domain: Entertainment, Music Industry Analytics

Technology: Python, Unsupervised Learning, PCA, Clustering Algorithms

Trend: Recommender Systems, Big Data in Entertainment

Career Relevance: Machine Learning Engineer, Data Analyst in Media

Domain: E-commerce, Customer Insight

Technology: Python, Natural Language Processing (NLP), Text Classification

Trend: Sentiment Analysis on User Reviews

Career Relevance: NLP Engineer, Data Scientist, Market Analyst

Domain: Language Modeling, AI Assistants

Technology: Python, Deep Learning, Recurrent Neural Networks (RNN), LSTM

Trend: Predictive Text Technologies

Career Relevance: NLP Specialist, AI Developer

 

 

Domain: Creative AI, Literature

Technology: Python, Deep Learning, RNN, LSTM

Trend: Generative Models in Creative Arts

Career Relevance: AI Researcher, Creative Technologist

Domain: Medical Diagnostics, Healthcare

Technology: Python, PyTorch, Artificial Neural Networks (ANN)

Trend: Deep Learning in Medical Imaging

Career Relevance: Data Scientist in Healthcare, AI Specialist

Domain: Agriculture Technology, Environmental Science

Technology: Python, PyTorch, Convolutional Neural Networks (CNN)

Trend: Computer Vision in Agriculture, AI for Sustainability

Career Relevance: Computer Vision Engineer, Agricultural Data Scientist

Domain: Computer Vision, Image Processing

Technology: Python, PyTorch, Generative Adversarial Networks (GAN)

Trend: Generative AI, Image Synthesis

Career Relevance: AI Engineer, Research Scientist

Domain: Varies (e.g., Fashion, Art, Gaming)

Technology: Python, PyTorch, Advanced GAN Techniques

Trend: Innovative Uses of Generative AI

Career Relevance: AI Researcher, Deep Learning Specialist

Domain: Document Processing, AI Assistants

Technology: Python, LLAMA2, Large Language Models (LLMs)

Trend: Intelligent Document Interaction

Career Relevance: NLP Engineer, AI Developer

Domain: Content Creation, Digital Marketing

Technology: Python, LLMs, Natural Language Generation

Trend: Automated Content Generation

Career Relevance: AI Content Strategist, NLP Developer

Domain: Database Management, AI Automation

Technology: Python, Google Gemini, NLP

Trend: AI-Assisted Programming, Low-Code Platforms

Career Relevance: Data Engineer, AI Programmer

Domain: Media Technology, Video Content Analysis

Technology: Python, Google Gemini, LLMs, NLP

Trend: Content Summarization, AI in Media

Career Relevance: AI Developer, Data Scientist in Media

By engaging in these projects, you'll build a robust portfolio that demonstrates your proficiency in various AI and machine learning techniques, making you well-prepared for a range of career opportunities in the tech industry.

Job Assistance ?

Curious about how to get started or which path suits you best? Let’s delve deeper into your interests and craft a personalized learning journey that aligns with your career goals in Mastering Generative AI Course.

How does our Program work?

Enroll in our Gen AI Program

From basics to advanced topics.

Attend Live classes + Pursue self-paced learning

Learn from expert in AI field

Complete the projects assigned by Industry Experts

Apply what you learn to real-world problems.

Secure a Digital Portfolio in “Github”

GitHub is a fantastic way to showcase your projects and skills.

Attend Mock Interviews with our HR team & Technical Round with Industry Experts

Preparing for mock interviews is a fantastic way to build confidence and ensure you’re ready for the real thing.

Receive Placement Guidance

let’s get you set up with some tailored guidance to help you land that dream job in the tech field.

mastering-generative-ai-course

Transform ideas into AI-powered solutions with Pantech eLearning. Limited seats available – secure your spot now!

Enroll Today to Master Generative AI!

  • AI/ML Enthusiasts eager to specialize in generative AI.

  • Developers & Data Scientists aiming to upskill.

  • Students preparing for AI careers.

  • Tech Professionals seeking innovation in healthcare, gaming, or finance.

Graduates can pursue roles like:

  • Generative AI Developer

  • Machine Learning Engineer

  • AI Research Scientist

  • Data Analyst (AI Specialization)

  • Self-Paced Learning: Access 24/7 course materials, video lectures, and code repositories.

  • Community & Mentorship: Join forums and live Q&A sessions.

  • Affordable Pricing: Premium training with lifetime access.


Course Price : ₹ 30,000

Days
Hours
Minutes
Seconds

Course Price : ₹ 30,000

Offer Price ₹ 9999

Limeded Time offer

Our Learners Work at

Curious where our graduates make their mark? Our students go on to excel in leading tech companies, innovative startups, and prestigious research institutions. Their advanced skills and hands-on experience make them highly sought-after professionals in the industry.

FAQ

What is included in the ₹9,999 limited time offer course?

The course includes:

  • Job Assistance: Guidance in finding the right job opportunities and connections with employers.

  • Weekly Live Sessions: Stay updated with industry trends and best practices.

  • HR Support: Expert help with resume building and mock interviews.

  • Cash Back: Earn ₹1499 upon project completion and posting your project on LinkedIn.

  • Capstone Projects: Build a portfolio of real-world projects.

  • Free Hackathon Entry: Participate in hackathons worth ₹1499 and showcase your skills.

  • LinkedIn Endorsement: Boost your profile and get noticed by recruiters.

Our team helps you identify suitable job openings, refine your applications, and prepare for interviews. We leverage our industry connections to recommend you to potential employers.

The weekly live sessions cover current industry trends, technical skills, best practices, and provide an opportunity for Q&A with industry experts.

You can earn the cashback by completing your course projects and sharing them on LinkedIn, showcasing your work to potential employers and peers.

The HR support includes personalized resume reviews, mock interviews to build your confidence, and tips on improving your interview performance.

Capstone projects are comprehensive assignments that simulate real-world challenges. Completing these projects helps you build a strong portfolio that demonstrates your practical skills to employers.

Participating in hackathons allows you to apply your skills in a competitive environment, collaborate with peers, and network with industry professionals. Winning or performing well in hackathons can also be a valuable addition to your resume.

A LinkedIn endorsement from our course enhances your profile’s credibility and visibility. It shows recruiters that you have been recognized for your skills by a professional training program.

You can enroll by visiting our course page, selecting the limited time offer, and completing the registration process. Payment can be made online through secure gateways.

Pantech E-learning empowers individuals with in-demand technological skills through a diverse range of engaging online courses, fostering innovation and driving career success in a rapidly evolving digital landscape

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