Certified GenAI Creator Program (CGCP)

Step into the future of creativity with the Certified GenAI Creator Program (CGCP). This comprehensive course is designed to equip students, designers, entrepreneurs, marketers, and professionals with the practical skills needed to harness the power of Generative Artificial Intelligence. Learn how to create stunning visuals, compelling content, engaging videos, and smart automations using industry-leading AI tools and effective prompt engineering techniques.

₹60,000
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Course Overview

Duration 3 Months
Mode Online
Category Graphic
Certificate Included
Lifetime Access Yes

What You'll Learn

Fundamentals of Generative AI and its applications
Prompt Engineering techniques for optimal AI outputs
AI-powered image creation and editing
Content writing and copy generation using AI
Video creation and multimedia production with AI tools
AI tools for graphic design and creative workflows
Building presentations, reports, and business content with AI
Ethical use of AI and responsible content creation
Productivity enhancement through AI automation
Real-world projects and portfolio development

📚 Course Curriculum

Module 1
Foundations of Artificial Intelligence
Module 2
AI Development Lifecycle
Module 3
Ethics and Responsible AI
Module 4
Understanding AI concepts
Module 5
Responsible AI practices
Module 6
Python for AI and Data Science
Module 7
Python Fundamentals
Module 8
Functions and Modules
Module 9
File Handling
Module 10
Data Structures
Module 11
Programming fundamentals
Module 12
Problem-solving using Python
Module 13
NumPy Operations and Scientific Computing
Module 14
Statistics and Hypothesis Testing
Module 15
Descriptive Statistics
Module 16
Probability Concepts
Module 17
Sampling Techniques
Module 18
Normal Distribution
Module 19
Confidence Intervals
Module 20
Hypothesis Testing
Module 21
t-Test and z-Test
Module 22
Chi-Square Test
Module 23
ANOVA
Module 24
Machine Learning Workflow
Module 25
Data Preparation
Module 26
Feature Engineering
Module 27
Bias-Variance Tradeoff
Module 28
Skills Developed:
Module 29
Machine Learning foundations
Module 30
Data preprocessing
Module 31
Supervised Learning
Module 32
Linear Regression
Module 33
Logistic Regression
Module 34
Decision Trees
Module 35
Random Forest
Module 36
Support Vector Machines
Module 37
k-Nearest Neighbors
Module 38
Unsupervised Learning
Module 39
Clustering Fundamentals
Module 40
K-Means Clustering
Module 41
Hierarchical Clustering
Module 42
DBSCAN
Module 43
Principal Component Analysis (PCA)
Module 44
Dimensionality Reduction
Module 45
Unsupervised Learning
Module 46
Pattern discovery
Module 47
Model Training and Optimization
Module 48
Training Pipeline Design
Module 49
Cross Validation
Module 50
Hyperparameter Tuning
Module 51
Grid Search
Module 52
Random Search
Module 53
Regularization Techniques
Module 54
Model Evaluation and Metrics
Module 55
Confusion Matrix
Module 56
Accuracy, Precision, Recall
Module 57
F1 Score
Module 58
ROC Curve and AUC
Module 59
Regression Metrics
Module 60
Model Comparison Techniques
Module 61
Natural Language Processing (NLP)
Module 62
Topics Covered:
Module 63
Introduction to NLP
Module 64
Text Preprocessing
Module 65
Tokenization
Module 66
Stop Word Removal
Module 67
Stemming and Lemmatization
Module 68
Named Entity Recognition
Module 69
Sentiment Analysis
Module 70
Text Classification
Module 71
Large Language Models (LLMs)
Module 72
Evolution of Language Models
Module 73
Transformers Architecture
Module 74
Attention Mechanism
Module 75
Prompt Engineering
Module 76
Zero-Shot and Few-Shot Learning
Module 77
Fine-Tuning Concepts
Module 78
LLM Applications
Module 79
Generative AI
Module 80
Text Generation
Module 81
Image Generation
Module 82
Video Generation
Module 83
Responsible Content Creation
Module 84
Industry Applications
Module 85
Vector Embeddings and Semantic Search
Module 86
Representation Learning
Module 87
Embedding Concepts
Module 88
Word Embeddings
Module 89
Sentence Embeddings
Module 90
Similarity Search
Module 91
Retrieval-Augmented Generation (RAG)
Module 92
Vector Databases Overview
Module 93
Deep Learning Foundations
Module 94
Introduction to Neural Networks
Module 95
Perceptrons
Module 96
Activation Functions
Module 97
Forward and Backpropagation
Module 98
Gradient Descent
Module 99
Optimizers
Module 100
Neural Network Architectures
Module 101
Feedforward Neural Networks
Module 102
Convolutional Neural Networks (CNNs)
Module 103
Recurrent Neural Networks (RNNs)
Module 104
LSTM and GRU Networks
Module 105
Transformer Networks
Module 106
Autoencoders
Module 107
Computer Vision and Object Detection
Module 108
Topics Covered:
Module 109
Fundamentals of Computer Vision
Module 110
Image Processing Basics
Module 111
Object Detection Concepts
Module 112
Bounding Boxes
Module 113
Intersection over Union (IoU)
Module 114
YOLO Architecture Overview
Module 115
Real-World Applications
Module 116
Transfer Learning
Module 117
Pre-trained Models
Module 118
Feature Extraction
Module 119
Fine-Tuning Strategies
Module 120
Model Adaptation Techniques
Module 121
Transfer Learning Applications
Module 122
Predictive Analytics
Module 123
Topics Covered:
Module 124
Business Forecasting Concepts
Module 125
Predictive Modeling Workflow
Module 126
Customer Behavior Prediction
Module 127
Risk Assessment Models
Module 128
Decision Support Systems
Module 129
Predictive Analytics
Module 130
Data-driven decision-making
Module 131
Time Series Modeling and Forecasting
Module 132
Time Series Fundamentals
Module 133
Trend and Seasonality
Module 134
Moving Averages
Module 135
Exponential Smoothing
Module 136
ARIMA Models
Module 137
Forecast Evaluation
Module 138
AI for Control and Actuation
Module 139
Intelligent Control Systems
Module 140
Feedback Control Principles
Module 141
Sensor Integration Concepts
Module 142
Autonomous Decision Making
Module 143
Industrial Applications of AI Control
Module 144
Adaptive Control Systems
Module 145
Adaptive System Fundamentals
Module 146
Self-Tuning Controllers
Module 147
Parameter Estimation
Module 148
Learning-Based Control
Module 149
Case Studies in Adaptive Systems
Module 150
Edge Computing Concepts
Module 151
Topics Covered:
Module 152
Introduction to Edge AI
Module 153
Edge vs Cloud Computing
Module 154
Resource-Constrained Inference
Module 155
Latency Optimization
Module 156
Edge Deployment Challenges
Module 157
Model Integration and Deployment
Module 158
Topics Covered:
Module 159
Model Serialization
Module 160
API Development Concepts
Module 161
Containerization Basics
Module 162
Deployment Strategies
Module 163
Monitoring and Maintenance
Module 164
MLOps Overview
Module 165
Capstone Project
Module 166
Project Activities:
Module 167
Problem Identification
Module 168
Data Preparation
Module 169
Model Selection
Module 170
Training and Evaluation
Module 171
Deployment Strategy
Module 172
AI-Powered Chatbot
Module 173
Predictive Analytics Dashboard
Module 174
Customer Segmentation System
Module 175
Demand Forecasting Solution
Module 176
Intelligent Recommendation Engine
Module 177
Computer Vision-Based Detection System

🛠 Tools Covered

ChatGPT
Google Gemini
Claude
Microsoft Copilot
Midjourney
Adobe Firefly
Canva
Leonardo AI
Ideogram
Runway
Pika
InVideo
CapCut
Jasper
Copy.ai
ElevenLabs
Murf AI
Gamma
Notion AI
Microsoft Copilot

🛠 Tools

🚀 Skills Covered

✓ Large Language Models
✓ Generative AI
✓ Natural Language Processing
✓ Vector Embedding
✓ Hypothesis Testing
✓ NumPy Operations
✓ Machine Learning Models
✓ Supervised and Unsupervised Learning
✓ Model Training and Optimization
✓ Model Evaluation and Metrics
✓ Time Series Modeling and Forecasting
✓ Deep Learning Modeling
✓ Neural Network Architectures
✓ Bounding Box Localization
✓ Transfer Learning
✓ Predictive Analytics
✓ AI for Control and Actuation
✓ Adaptive Control Systems
✓ Edge Computing Concepts
✓ Model Integration and Deployment

⭐ Why Join This Program?

⭐ ✅ Learn the Skills of the Future
⭐ Generative AI is transforming industries worldwide. Gain practical skills that are becoming essential across creative, marketing, business, and technology roles.
⭐ ✅ Hands-on Training with Industry Tools
⭐ Work with leading AI platforms used by professionals to create content, designs, videos, presentations, and business assets.
⭐ ✅ No Technical Background Required
⭐ Whether you're a student, designer, entrepreneur, or working professional, this program is designed to help you start using AI effectively from day one.
⭐ ✅ Boost Your Creativity & Productivity
⭐ Learn how to generate ideas faster, automate repetitive tasks, and produce high-quality work in less time.
⭐ ✅ Build a Professional Portfolio
⭐ Complete real-world projects that showcase your GenAI capabilities and strengthen your portfolio for jobs or freelance opportunities.
⭐ ✅ Enhance Your Career Opportunities
⭐ Stand out in a competitive job market by adding one of today's most in-demand skill sets to your resume.
⭐ ✅ Create New Income Streams
⭐ Use AI to offer content creation, design, marketing, and creative services as a freelancer or entrepreneur.
⭐ ✅ Learn Through Practical Projects
⭐ Apply your knowledge through assignments, case studies, and capstone projects that mirror real industry requirements.
⭐ ✅ Earn an Industry-Oriented Certification
⭐ Receive a certificate upon successful completion of the program, validating your skills and commitment to continuous learning.
⭐ ✅ Stay Ahead of the Digital Revolution
⭐ As AI continues to reshape the way we work and create, this program prepares you to adapt, innovate, and thrive in the AI-driven economy.

Requirements

Students & Job Seekers
Graphic Designers & Creative Professionals
Digital Marketers & Content Creators
Business Owners & Entrepreneurs
Freelancers & Consultants
Educators & Trainers
Anyone eager to harness the power of AI

Instructor

Mrs. kanupriya & Mr. Suraj Pandey

Certificate Included

✔ Certificate of Completion
✔ Lifetime Access
✔ Downloadable Resources
✔ Practical Projects

Why Enroll In This Course?

Enroll Now For ₹60,000