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This program equips you with the knowledge and skills needed to excel in the field of Generative AI. Gain practical insights and industry expertise to confidently develop, implement, and innovate with AI-driven solutions.

Generative AI Videos

Skills Covered in Generative AI Course

Generative Models&Advanced Model Architectures

Large Language Models (LLMs) & Foundation Models

Computer Vision & Image/Video Generation

Advanced NLP & Language Modelling

Responsible AI & Ethics

AI Infrastructure & Deployment

AI Tooling & Frameworks

Speech & Audio Synthesis& Multimodal AI

Cutting-Edge Computer Vision & Video Generation

Autonomous AI & Agentic Workflows

Industry-Ready AI Infrastructure & Optimization

GenAI for Enterprise Applications

Advanced Data Engineering for GenAI

AI Security & Ethical Considerations

Real-Time AI & Edge Computing

The Future of Generative AI & Next-Gen Technologies

Key Features in Generative AI Course

Generative AI & Large Language Models (LLMs)

Prompt Engineering & AI Fine-Tuning

Machine Learning & NLP

Computer Vision & AI for Video/Image Processing

AI in Education & LMS Development

AI & Data Science Training

Industry & Academic Research

AI Deployment &MLOps

Cloud AI Services

Our Alumni Working in

Classroom Training Gallery

Available Training Options

Online Training

₹

Small batch size to ensure personalized attention and better interaction
Dedicated doubt-clearing sessions after each class
Hands-on practice with real-time guidance
Regular assessments and assignments for continuous improvement
Flexible class schedules to accommodate learners' needs

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Generative AI Course Syllabus

Prerequisites

Generative AI requires a strong foundation in machine learning, deep learning, and data processing techniques. Understanding neural networks, probability, and optimization methods is essential for developing and fine-tuning models.

Generative AI Course Course Syllabus

MODULE 1: Python Basics & Core Programming

Introduction to Python

What is Python?
Installation & Setup (Anaconda, Jupyter Notebook, VS Code)
Running Python Programs (Interactive & Script Mode)

Python Fundamentals

Variables & Data Types
Operators (Arithmetic, Logical, Relational)
Conditional Statements (if-else)
Loops (for, while)
Functions (Types, Arguments, Lambda Functions)

Data Structures in Python

Strings: Operations, Slicing, Methods
Lists: Accessing, Modifying, Methods, List Comprehensions
Dictionaries: Key-Value Pairs, Operations
Sets: Set Operations, Built-in Functions

Object-Oriented Programming

Classes & Objects
Inheritance & Polymorphism
Encapsulation & Data Hiding

MODULE 2: Python for Data Science

Working with Files & Exception Handling

File Handling (Read, Write, Append)
Exception Handling (try-except, finally)

NumPy for Data Manipulation

Arrays vs Lists
Creating & Modifying Arrays
Array Indexing & Slicing
Mathematical Operations

Pandas for Data Handling

DataFrames & Series
Importing Datasets (CSV, JSON, Excel)
Data Cleaning & Handling Missing Data

Data Visualization using Matplotlib & Seaborn

Line Charts, Bar Graphs, Pie Charts
Histograms, Scatter Plots, Heatmaps

MODULE 3: AI & Machine Learning

Introduction to AI & ML

AI vs ML vs Deep Learning
Supervised vs Unsupervised Learning
Real-World Applications

Supervised Learning Algorithms

Linear & Logistic Regression
Decision Trees & Random Forest
Support Vector Machines (SVM)
Naïve Bayes Classifier

Unsupervised Learning Algorithms

K-Means Clustering
Hierarchical Clustering
Principal Component Analysis (PCA)

Deep Learning with TensorFlow & Keras

Introduction to Neural Networks
Activation Functions
Building Artificial Neural Networks (ANN)
Convolutional Neural Networks (CNN)
Recurrent Neural Networks (RNN)

Natural Language Processing (NLP)

Text Preprocessing (Tokenization, Lemmatization)
Bag of Words & TF-IDF
Named Entity Recognition (NER)
Sentiment Analysis

Reinforcement Learning

Agents & Environment
Q-Learning Algorithm

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Projects / Assignments covered

Project 1

AI-Powered Medical Report Summarization & Diagnosis Assistant

An advanced AI assistant that extracts key insights from medical reports, summarizes critical information and provides preliminary diagnostic suggestions to enhance decision-making for doctors and patients.

Project 2

Personalized AI Shopping Assistant (LLM + RAG + Vision AI)

A next-gen shopping assistant that leverages LLMs, Retrieval-Augmented Generation (RAG), and Vision AI to offer personalized product recommendations, price comparisons, and visual search for an enhanced e-commerce experience.

Project 3

Generative AI-Based Video Editing & Captioning (Gen-3, Stable Diffusion)

A cutting-edge AI-powered tool that uses Gen-3 models and Stable Diffusion to automate video editing, generate high-quality captions, and enhance content creation with minimal manual effort.

Our Top Instructors

Meghana

Generative AI Trainer

Meghana Ghogare

Senior Machine Learning Engineer

Educational Background:

Alma Mater: Dr. Babasaheb Ambedkar Marathwada University, Aurangabad. With a strong foundation in AI and data science, I bring my expertise from one of the leading institutions to the classroom.

Expertise & Skills:

AI & Machine Learning: Skilled in building solutions using Generative AI, LLMs, and advanced ML algorithms for business and healthcare domains.
NLP, Code AI & Speech AI: Experienced in natural language processing, AI-driven coding tools, and voice recognition technologies.
Data Science & Analytics: Proficient in extracting insights from data to support strategic decision-making across industries.
Cloud, DevOps & AI Project Management: Capable of deploying scalable AI applications and leading cross-functional AI teams with effective planning.

Professional Experience:

Current Role: Senior Machine Learning Engineer at Microsoft. With over 18 years of experience across multiple MNCs, I possess deep technical expertise and hands-on industry knowledge.

Career Support & Student Success:

Trained over 1000 students at Apponix Academy, maintaining an exceptional 4.9 rating and helping many secure top AI roles.
Provided complete career guidance, including resume building, mock interviews, and job placement support for AI-driven careers.
Enabled continuous growth by offering curated learning resources to help students stay current in the evolving AI landscape.

Overview of Generative AI Course

Generative AI Certification Training is a comprehensive program designed to help professionals gain expertise in AI-driven content generation and machine learning models.
The training is aimed at individuals who want to enhance their skills in artificial intelligence and demonstrate their expertise in generative AI to potential employers.
Our training program is led by experienced trainers with deep knowledge of AI, equipping you with the latest skills, tools, and best practices in the industry.
With our Generative AI certification training, you will learn how to design, train, and deploy AI models for text, image, and content generation using advanced machine learning techniques.
Upon completion of the training, you will be well-prepared to take the certification exam and earn a credential that showcases your proficiency in generative AI.

Benefits of learning Generative AI

Learning Generative AI equips you with cutting-edge skills in AI-powered tools like

Master In-Demand AI Skills – Gain expertise in ChatGPT, Gemini, Llama, Stable Diffusion, AI coding, and automation.
Unlock High-Paying Jobs – Qualify for AI/ML roles at top companies like Google, Microsoft, and OpenAI.
Gain Hands-On Experience – Build AI applications, chatbots, and automation tools with real-world projects.
Future-Proof Your Career – Stay ahead of AI disruptions by mastering fine-tuning, RAG, and AI deployment.
Boost Professional Credibility – Earn a globally recognized certification to enhance your resume and job prospects.

Related job roles

AI & ML Core: AI Engineer, Data Scientist, Prompt Engineer, LLM Engineer
Development: AI Software Engineer, Chatbot Developer, AI Solutions Architect
Data & Analytics: AI Data Engineer, AI-Powered Data Analyst, BI Analyst
Content & Design: AI Content Creator, Digital Artist, Video/Image Specialist
Industry-Specific: AI Consultant (Healthcare, Finance), Cybersecurity Engineer
Leadership: AI Ethics Consultant, AI Evangelist, Chief AI Officer (CAIO)

2000+ Ratings

3000+ Learners

Generative AI Exam & Certification

What is Generative AI?

Generative AI is a type of artificial intelligence that can create new content, like text, images, videos, and music, based on the data it has learned from. It works like a smart assistant that can generate creative and useful outputs.

How does Generative AI work?

It uses advanced machine learning models, like deep learning and neural networks, to understand patterns in data. Then, it creates new content by predicting what comes next, similar to how a person might complete a sentence or draw a picture.

What are some real-world uses of Generative AI?

Generative AI is used for:

Creating images, videos, and music
Writing articles, stories, or summaries
Generating realistic chat responses (like ChatGPT)
Enhancing video editing and animation
Designing personalized products and advertisements

Can Generative AI replace human creativity?

No, Generative AI can assist and enhance creativity, but it still relies on human input and guidance. It can help speed up tasks, generate ideas, and automate repetitive work, but humans are needed for originality, emotions, and final decision-making.

Is Generative AI safe to use?

Generative AI is generally safe, but it depends on how it is used. Some risks include misinformation, deepfakes, and biased outputs. To ensure safe use, it’s important to verify AI-generated content and use it responsibly.

Career after Generative AI Course

Career Opportunities After Generative AI Course

If you're considering taking a Generative AI certification course, you may be wondering what career opportunities are available once you've completed the training. Generative AI is one of the most in-demand fields in artificial intelligence, offering a wide range of job opportunities for professionals with expertise in this domain. Here are some potential career paths for Generative AI professionals:

AI Research Scientist – AI research scientists work on developing and improving generative models, conducting research on deep learning, and contributing to AI advancements.
Machine Learning Engineer – Machine learning engineers design, train, and deploy generative AI models for text, image, and video generation using frameworks like TensorFlow and PyTorch.
AI Product Manager – AI product managers oversee the development and deployment of AI-driven solutions, ensuring that generative AI models align with business needs.
Data Scientist – Data scientists use generative AI techniques to analyze data, build predictive models, and develop AI-powered analytics solutions.
Deep Learning Engineer – Deep learning engineers specialize in building, optimizing, and fine-tuning advanced neural networks for generative AI applications.
AI Consultant – AI consultants help businesses integrate generative AI into their products and services, offering technical expertise and strategic guidance.

Overall, a Generative AI certification can open doors to a variety of exciting career opportunities in artificial intelligence. With the rapid growth of AI-driven applications, now is the perfect time to pursue a Generative AI certification and take your career to the next level.

Frequently Asked Questions

What is Generative AI, and why is it important?

Generative AI is a subset of artificial intelligence that creates new content, such as text, images, audio, and code. It is widely used in automation, creativity, and decision-making applications.

Who should take this course?

This course is designed for beginners, AI enthusiasts, professionals, and students who want to explore the world of AI-driven content generation.

Do I need prior AI knowledge?

While prior experience in programming and machine learning is helpful, it is not mandatory. The course starts with fundamental concepts.

What will I learn in this course?

You will learn about deep learning models, transformer architectures, NLP, image generation, AI ethics, and real-world applications.

Is this course beginner-friendly?

Yes! The course covers AI basics before progressing to advanced Generative AI concepts, making it accessible to all learners.

What tools and technologies will be used?

The course includes practical training with OpenAI’s GPT, DALL·E, TensorFlow, PyTorch, and cloud-based AI services.

How is this course structured?

It includes interactive lectures, hands-on projects, real-world case studies, and assessments to reinforce learning.

Will I receive a certificate upon completion?

Yes, a recognized certificate will be provided after successfully completing the training.

What career opportunities are available?

You can pursue roles such as AI Developer, Machine Learning Engineer, Data Scientist, and AI Consultant.

How can I enroll?

You can register online via our website or contact our admissions team for assistance.

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Why GenAI is more Popular?

Job Opportunities for GenAI Professionals in 2025

Generative AI Engineer: A rapidly growing role with approximately 3,000 job openings and a significant demand for skills in creating AI-generated content and solutions1.
AI Research Engineer: This role is expected to see around 2,000 job openings, focusing on advancing AI technologies through research and development1.
Data Scientist (AI Applications): With about 5,000 openings, data scientists are increasingly sought after for their ability to analyze data and implement AI solutions across various sectors1.
AI Product Manager: This role requires a blend of technical and business skills, with around 1,000 job openings available for professionals who can manage AI product lifecycles effectively1.
Machine Learning Engineer: The most in-demand position, boasting 16,000 job openings and an average salary of $161K annually, highlighting the critical need for expertise in machine learning1 2.
Robotics Engineer (AI Focus): This role is gaining traction with approximately 55.6K monthly searches, indicating robust interest in integrating AI with robotics1.
Deep Learning Specialist: With 19,000 job openings and an average salary of $119.1K, deep learning specialists are vital for developing advanced AI systems1.
Natural Language Processing (NLP) Engineer: This role ranks fifth in demand with 6,000 job openings and a lucrative average salary of $156K, focusing on AI's ability to understand human language1.
AI Ethics Specialist: As businesses increasingly adopt AI technologies, there is a growing need for professionals who can address ethical concerns related to AI deployment2.
Synthetic Data Engineer: Emerging as a new role, synthetic data engineers create artificial datasets to train AI models without compromising privacy or security3.
AI Strategy Consultant: Professionals in this role help organizations align their AI initiatives with business goals, ensuring effective integration of AI technologies2.
Generative AI Research Scientist: This position focuses on exploring new applications of generative AI and is expected to grow significantly as the technology evolves34.

Why should you take GenAI?

Career Advancement
- Directly relevant to high-demand roles.
- Future-proofs your skills.
- Increased earning potential.
Powering Up Your Existing Role
- Enhanced content creation.
- Automation of repetitive tasks.
- Idea generation and brainstorming.
Personal Enrichment & Creative Expression
- Bringing creative visions to life.
- Learning as a hobby/passion.
- Staying ahead of the curve.
Specific Industries & Applications
- Healthcare (drug discovery, personalized medicine).
- Finance (fraud detection, risk assessment).
- Manufacturing (predictive maintenance, product design).
- Gaming (realistic environments, character dialogue).

Professional Experience

Master Trainer & SME (GenAI, AI-ML, Data Science) |

Leading AI-driven curriculum design and training programs for students and professionals.
Conducting hands-on AI workshops for business professionals and engineering graduates.
Mentoring students on AI projects, helping them secure international internships.

Project Manager | AI-Based LMS for Indian Railways

Managing AI development for personalized learning, mock tests, and AI-driven performance analysis.
Overseeing AI modules for voice-to-text, translation, and smart content generation.

Research Collaborator & Honorary Scientist | Global Universities & Institutes

Collaborating with IITs, Wrocław University (Poland), University of South Wales, and Lincoln University College on AI applications in Healthcare, Power Systems, and Neuroscience.
Leading AI-driven medical research in predictive analytics and healthcare informatics.

Industry & Academic Recognition

Best Teacher Award – ITM (SLS) Baroda University
Certificate of Excellence in AI in Neuroscience – Shiraz University of Medical Sciences, Iran
Adjunct Honorary Scientist – IBCR (India), Genius Singulars (India)
Hon. Sr. Fellow – WIDI, University of South Wales

Global Research & Training Collaborations

India: Research collaborations with IIT Dhanbad, IIT Indore, and Pune University.
Poland: AI & ML in Power Systems (Wroclaw University of Science & Technology).
Malaysia: AI & Data Analytics with Lincoln University College & Xiamen University.
Vietnam: AI-driven Medical Informatics with Thu Dau Mot University.
UK: AI & Data Science Internships with the University of West London.

Technical & AI Training

Corporate AI Workshops: AI for Business Decision-Making, GenAI in Marketing, AI for HR.
University-Level AI Training: AI & ML for Engineering, Data Science, and Healthcare Applications.
GenAI Bootcamps: LLMs, Prompt Engineering, AI for Content Generation, AI Video Synthesis.

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