- Home
- All Course
- Google Cloud Platform (GCP) Certification Training
Generative AI Masters Program Course Option 2
Have queries? Ask us
- +1419-390-4934
Generative AI course teaches you how to use Generative AI principles and how to apply them in real-life applications. This online Generative AI course covers the following topics: Python Programming, Data Science, Artificial Intelligence, Natural Language Processing, Generative AI. Prompt Engineering, ChatGPT And much more! The curriculum has been carefully developed by industry professionals based on an extensive analysis of 5000+ worldwide job postings. Explore the exciting world of GenerativeAI and take your career to a new level!
Extensive Program with 10 Courses
200+ Hours of Interactive Learning
Generative AI Masters Course Syllabus
Python Programming Certification Course
In this Python Programming Certification Course, you will learn important Python programming concepts like Data operations, File operations, Object-oriented concepts, as well as various Python libraries like Pandas library, Numpy library, Matplotlib library and many more.
You will also learn Data Visualization techniques and how to handle different types of data like Ordinal data, categorical data, Encoding data, etc.
This course prepares you for the industry by working on real life case studies and providing you with relevant concepts.
A. Introduction to Data B. Visualization with Tableau
C. Basic Visualization Design
D. Visualizations Deep Dive
E. Data Organization and Scripting
F. Advanced Visualization
G. Playing with Time Dimension
H. Location analytics capabilities
I. Incremental Loading and Blending
J. Integrating Tableau with R and Hadoop
K. Sharing Insights with Enterprise Dashboards
Data Science with Python Certification Course
Data science with python certification is approved by the National Academy of Science and Technology in Computer Science (NASSCOM) and the Government of India. This certification meets the industry standards. This course covers all aspects of data science, from the basics to advanced topics such as Pandas, numpy, machine learning, etc. This course is suitable for professionals and beginners alike. You will gain skills in Data Operations, Object-Oriented Programming, Regression, Clustering, Decision Trees, and much more. Encourage your career in Data Science and Machine Learning.
Introduction to Data Science and ML using Python
Data Handling, Sequences and File Operations
Deep Dive – Functions, OOPs, Modules, Errors, and Exceptions
Introduction to NumPy, Pandas, and Matplotlib
Data Manipulation
Introduction to Machine Learning with Python
Supervised Learning – I
Dimensionality Reduction
Supervised Learning – II
Unsupervised Learning
Association Rules Mining and Recommendation Systems
Reinforcement Learning (Self-Paced)
Time Series Analysis (Self-Paced)
Model Selection and Boosting
Statistical Foundations (Self-Paced)
Database Integration with Python (Self-Paced)
Data Connection and Visualization in Tableau (Self-Paced)
Advanced Visualizations (Self-Paced)
In-Class Project (Self-Paced)
Artificial Intelligence Certification Course
In this Advanced Artificial Intelligence Course, you will learn basic text processing and text classification as well as important concepts like Tokenization, Stemming, Lemmatization, POS tagging and much more.
In this course, you will learn Image Pre-processing, Image Classification, Transfer Learning, Object Detection, Computer Vision.
You will also be able to implement popular algorithms such as CNN, RCNN, RNN, LSTM, RBM in Python using the most up-to-date TensorFlow version 2.0.
This course has been carefully curated by industry experts based on the latest industry needs and demands.
Unlock the power of AI and advance your career— Join the global revolution today!
Introduction to Text Mining and NLP
Extracting, Cleaning and Preprocessing Text
Analyzing Sentence Structure
Text Classification-I
Introduction to Deep Learning
Getting Started with TensorFlow 2.0
Convolution Neural Network
Regional CNN
Boltzmann Machine & Autoencoder
Boltzmann Machine & Autoencoder
Emotion and Gender Detection (Self-paced)
Introduction RNN and GRU (Self-paced)
LSTM (Self-paced)
Auto Image Captioning Using CNN LSTM (Self-paced)
Developing a Criminal Identification and Detection Application Using OpenCV (Self-paced)
TensorFlow for Deployment (Self-paced)
Text Classification-II (Self-paced)
In Class Project (Self-paced)
ChatGPT Complete Course: Beginners to Advanced
ChatGPT Course gives you the ability to interact with the newest generation of generative AI – chatGPT. Improve prompt engineering, integrate plug-ins, and use ChatGPT APIs to increase productivity. Create a custom chatbot, learning from real-world applications and projects. GPT-4 & ChatGPT Plus give you a peek into the future. Improve your skills and excel in the ever-changing digital world!
Unveiling ChatGPT: Conversing with Superintelligence
Prompt Engineering and ChatGPT Plugins
ChatGPT for Productivity
ChatGPT for Developers and Exploring ChatGPT API
GPT Models, Pre-processing and Fine-tuning ChatGPT
Building an AI Powered Chatbot
Deploying and Integrating ChatGPT in Business Applications (Self-paced)
Working with GPT-3 (Self-paced)
Building and Deploying GPT-3 Powered Application (Self-Paced)
ChatGPT: Best Practices, Limitations, and Avenues for Future Development (Self-paced)
Developing Web Application using ChatGPT (Bonus Module)
Popular Generative AI Tools (Bonus Module)
Prompt Engineering with Generative AI
Unlock the power of artificial intelligence with our expertly curated prompt engineering with generative AI course. Explore AI-driven creativity with our all-in-one course on prompt engineering & generative AI. Learn how to use prompts to create custom text, code and more. Transform the way you solve problems. Join us today and become a leader in artificial intelligence innovation and play a vital role in transforming the future digital world.
Generative AI and its Industry Applications
NLP and Deep Learning
Autoencoders and GANs
Language Models and Transformer-based Generative Models
Prompt Engineering
Generative AI with LLMs
LLMs for Search, Prediction, and Generation
LangChain for LLM Application Development
Interacting with Data Using LangChain and RAG
Generative AI on Cloud
Working with ChatGPT (Self-paced)
Python with Generative AI (Self-paced)
Evaluating LLM Performance (Self-Paced)
Industry Case Studies and In-class Project (Self-Paced)
Bonus Module – Machine Learning with Generative AI (Self-paced)
Bonus Module – Generative AI Tools (Self-paced)
Generative AI Industry Applications
Learn how Generative AI can transform the way we do business with our industry-specific modules. From improving fraud detection using GAN models, to unleashing the power of art through MidJourney and improving coding productivity with the help of the GitHub Copilot platform, this course takes you on a journey through real-world applications, privacy implications, and the latest cybersecurity trends. Develop your skills and stay ahead of the curve in the ever-changing world of GenerativeAI.
Leveraging Generative AI for Fraud Detection
Using Midjourney for Generative AI Art
GitHub Copilot for Developers
Generative AI: Privacy and Protection Perspectives
Generative AI for Cyber Security
- SEP 23, 2023
MON - FRI (6.5 Week)
08 : 30 PM TO 10: 30 PM
Original price was: $1,299.00.$999.00Current price is: $999.00.
Free Elective Courses along with learning path
Python Statistics for Data Science Course
- Learning Objective: In this module, you will be introduced to data and its types and accordingly sample data and derive meaningful information from the data in terms different statistical parameters.
Reinforcement Learning
- Objectives of the module: The objective of the module is to familiarize you with the basics of reinforcement learning and its components. The module also provides you with OpenAI Gym which is a programming environment for implementing reinforcement learning agents.
Graphical Models Certification Training
- Goal: To provide a general overview of Graphical Models, Graph Theory, Probability Theory, Components of Graph Models, Types of Graph Models, Representation of Graph Models, Inference, Learning and Decision Making in Graphical Models.
Sequence Learning Certification Training
AI and Machine Learning Engineer Master Capstone Project
- Learning Objectives -Our goal is to automatically identify human behaviors based on the analysis of body landmarks derived from pose prediction.
Job Outlook
Course FAQ
Generative AI Engineer researches cutting-edge technologies and contributes to the world of artificial intelligence. Generative AI enables professionals to build models capable of creating real-world content, such as images, text, audio, etc. Generative AI Engineer combines technical skills, continuous learning, and the opportunity to implement generative AI in a wide range of industries, including art and design, healthcare, natural language processing, etc. It’s an exciting and dynamic career for those who have a passion for AI innovation.
The Generative AI Masters program has been developed based on extensive research and industry recommendations. It will teach you Python concepts, Data Science concepts, Artificial Intelliegence concepts, Natural Language Processing concepts, Generative AI concepts, Prompt Engineering concepts, Large Language Models (LML), ChatGPT concepts, and many more. It will also give you hands-on experience with the tools and systems that industry experts use. Edureka is here for you every step of the way – We’re Reluctantly Committed.
The topics covered in this Generative AI Masters course include but are not limited to:
Python
Statistics
Data Preparation
Machine Learning
Natural Language Processing
Deep Learning
Generative AI
ChatGPT
Prompt Engineering
Large Language Models
LLM Application Development
Generative AI Applications
You don’t need to have any prior experience in order to enroll in this GM Masters course. But as a gesture of goodwill, we offer free self paced courses in your lms on python statistics for data science, reinforcement learning, graphical models, sequence learning, etc. so that you can brush up on your skills.
This GM Masters course is created and designed for aspirants who want to build careers in the field of Generative AI or professionals working in IT.
Generative AI Master’s Program is a carefully curated collection of self-paced and instructor-led courses, where you can learn at your own pace under the guidance of industry experts.
In the Generative AI Master Online Program, you’ll get to master the following courses:
Data Science
Artificial Intelligence
ChatGPT
Prompt Engineering with Genuine AI
Python Scripting
Industry Applications
Generative AI Engineers are responsible for a variety of tasks and responsibilities, including:
Model development: Developing and executing generative AI models using GANs and VAEs
Data preparation: Curating and preparing datasets for model training to ensure inclusivity and relevance
Training and optimization: Refining models, adjusting parameters, and improving performance
Evaluation of model quality: Assessing model quality using metrics relevant to the task (e.g. image quality or text coherence)
Integration: Incorporating generative models in applications or systems to perform tasks such as content creation or data augmentation
Research: Keeping up to date with the latest advances in generative AI, and implementing innovative techniques
Collaborative teams: Working within interdisciplinary teams of data scientists, engineers and domain experts
Role: Generative AI Engineers play a vital role in fields such as Art, Design, Medicine, etc.
Free Career Counselling
We are happy to help you 24/7
Please Note : By continuing and signing in, you agree to Terms & Conditions and Privacy Policy.
