Description
Certification Name: Certificate in Generative AI Engineer
Course Id: CGAIE/Q0001.
Eligibility: Graduation or Equivalent.
Objective: The objective of the Certified Generative AI Engineer course is to equip professionals with comprehensive knowledge and practical skills in designing, developing, and deploying advanced generative AI models and applications. This course covers fundamental concepts of generative AI, including generative adversarial networks (GANs), variational autoencoders (VAEs), diffusion models, large language models, and multimodal AI systems.
Duration: Three Month.
How to Enroll and Get Certified in Your Chosen Course:
Step 1: Choose the course you wish to get certified in.
Step 2: Click on the “Enroll Now” button.
Step 3: Proceed with the enrollment process.
Step 4: Enter your billing details and continue to course fee payment.
Step 5: You will be redirected to the payment gateway. Pay the course and exam fee using one of the following methods:
Debit/Credit Card, Wallet, Paytm, Net Banking, UPI, or Google Pay.
Step 6: After successful payment, you will receive your study material login ID and password via email within 48 hours of fee payment.
Step 7: Once you complete the course, take the online examination.
Step 8: Upon passing the examination, you will receive:
• A soft copy (scanned) of your certificate via email within 7 days of examination.
• A hard copy (original with official seal and signature) sent to your address within 45 day of declaration of result.
Step 9: After certification, you will be offered job opportunities aligned with your area of interest.
Online Examination Detail:
Duration- 60 minutes.
No. of Questions- 30. (Multiple Choice Questions).
Maximum Marks- 100, Passing Marks- 40%.
There is no negative marking in this module.
| Marking System: | ||||||
| S.No. | No. of Questions | Marks Each Question | Total Marks | |||
| 1 | 10 | 5 | 50 | |||
| 2 | 5 | 4 | 20 | |||
| 3 | 5 | 3 | 15 | |||
| 4 | 5 | 2 | 10 | |||
| 5 | 5 | 1 | 5 | |||
| 30 | 100 | |||||
| How Students will be Graded: | ||||||
| S.No. | Marks | Grade | ||||
| 1 | 91-100 | O (Outstanding) | ||||
| 2 | 81-90 | A+ (Excellent) | ||||
| 3 | 71-80 | A (Very Good) | ||||
| 4 | 61-70 | B (Good) | ||||
| 5 | 51-60 | C (Average) | ||||
| 6 | 40-50 | P (Pass) | ||||
| 7 | 0-40 | F (Fail) | ||||
Key Benefits of Certification- Earning a professional certification not only validates your skills but also enhances your employability. Here are the major benefits you gain:
Practical, Job-Ready Skills – Our certifications are designed to equip you with real-world, hands-on skills that match current industry demands — helping you become employment-ready from day one.
Lifetime Validity – Your certification is valid for a lifetime — no renewals or expirations. It serves as a permanent proof of your skills and training.
Lifetime Certificate Verification – Employers and institutions can verify your certification anytime through a secure and reliable verification system — adding credibility to your qualifications.
Industry-Aligned Certification –All certifications are developed in consultation with industry experts to ensure that what you learn is current, relevant, and aligned with market needs.
Preferred by Employers – Candidates from ISO-certified institutes are often prioritized by recruiters due to their exposure to standardized, high-quality training.
Free Job Assistance Based on Your Career Interests – Receive personalized job assistance and career guidance in your preferred domain, helping you land the right role faster.
Assessment Modules:
Module 1: Introduction to Generative AI: Overview of generative AI concepts, Types of generative models (GANs, VAEs, autoregressive models), Applications and use cases, History and evolution of generative AI, Ethical considerations and challenges, Overview of popular generative AI frameworks.
Module 2: Generative Adversarial Networks (GANs): Architecture of GANs (generator and discriminator), Types of GANs (DCGAN, CycleGAN, StyleGAN), Training GANs and common challenges, Evaluation metrics for GANs, Applications of GANs in image, video, and text, Improving GAN stability and performance.
Module 3: Variational Autoencoders (VAEs) and Other Models: Understanding VAEs and latent space, Differences between VAEs and GANs, Training and loss functions, Applications of VAEs, Introduction to autoregressive models (GPT, Transformer-based), Comparing generative model types.
Module 4: Data Preparation and Model Training: Data collection and preprocessing for generative tasks, Handling imbalanced and noisy data, Training pipelines and resource optimization, Hyperparameter tuning, Transfer learning and fine-tuning generative models, Avoiding overfitting and mode collapse.
Module 5: Deployment and Integration: Model packaging and serving techniques, Integration with applications and APIs, Scaling generative AI models, Monitoring model performance in production, Ensuring security and compliance, Managing model updates and lifecycle.
Module 6: Advanced Topics and Real-World Applications: Text generation and natural language generation (NLG), Image and video synthesis, Music and audio generation, Ethical and societal impacts of generative AI, Case studies and industry applications, Future trends and research directions.
After successful completion of the Certificate in Generative AI Engineer, graduates can pursue high-demand careers in AI, deep learning, and content generation, specializing in building and deploying generative AI models for text, image, video, and code. Generative AI is one of the fastest-growing domains globally, and India is seeing rapid adoption across industries. Below is a detailed overview of career options with salary ranges (India).
1. Generative AI Engineer
Role & Responsibilities
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Design and develop generative AI models for text, images, audio, or video
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Implement models using frameworks like GPT, DALL·E, Stable Diffusion, and diffusion-based networks
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Optimize models for performance, scalability, and deployment
Industries
SaaS, fintech, healthcare, entertainment, AI startups
Salary Range (India)
-
Entry Level: ₹8 – 12 LPA
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Mid Level: ₹15 – 25 LPA
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Senior Level: ₹30 – 50 LPA
2. AI/ML Engineer (Generative AI Focus)
Role & Responsibilities
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Develop ML pipelines for training and deploying generative models
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Fine-tune pre-trained models for enterprise use cases
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Collaborate with product teams to integrate AI-generated content
Industries
SaaS, AI startups, content platforms, fintech
Salary Range
-
Entry Level: ₹6 – 10 LPA
-
Mid Level: ₹12 – 22 LPA
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Senior Level: ₹25 – 40 LPA
3. NLP & Text Generation Specialist
Role & Responsibilities
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Develop large language models for chatbots, virtual assistants, and content generation
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Fine-tune GPT-style models for domain-specific applications
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Ensure model accuracy, bias mitigation, and ethical AI deployment
Industries
SaaS, customer support AI, fintech, edtech
Salary Range
-
Entry Level: ₹7 – 12 LPA
-
Mid Level: ₹12 – 22 LPA
-
Senior Level: ₹25 – 45 LPA
4. AI/Generative Vision Engineer
Role & Responsibilities
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Build AI models for image, video, and animation generation
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Implement computer vision models using GANs, diffusion models, or autoencoders
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Deploy AI solutions for creative, industrial, or marketing applications
Industries
Entertainment, marketing, media, e-commerce, manufacturing
Salary Range
-
Mid Level: ₹15 – 25 LPA
-
Senior Level: ₹30 – 50 LPA
5. AI Product Engineer / Generative AI Developer
Role & Responsibilities
-
Integrate generative AI models into enterprise applications and SaaS products
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Collaborate with software teams to deliver production-ready AI solutions
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Ensure security, scalability, and model version control
Industries
SaaS, fintech, AI startups, healthcare, edtech
Salary Range
-
Entry Level: ₹6 – 10 LPA
-
Mid Level: ₹12 – 22 LPA
-
Senior Level: ₹25 – 40 LPA
6. MLOps Engineer (Generative AI Focus)
Role & Responsibilities
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Deploy and maintain generative AI models in production
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Automate model retraining, monitoring, and scaling pipelines
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Ensure reliability and performance of AI systems
Industries
SaaS, AI startups, fintech, enterprise AI projects
Salary Range
-
Mid Level: ₹12 – 22 LPA
-
Senior Level: ₹25 – 40 LPA
7. AI/Generative Research Scientist
Role & Responsibilities
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Conduct research to improve generative AI algorithms (GANs, diffusion models, transformers)
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Develop prototypes and innovative AI solutions
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Contribute to publications and open-source AI frameworks
Industries
AI research labs, enterprise AI, academic institutions, AI startups
Salary Range
-
Mid Level: ₹15 – 25 LPA
-
Senior Level: ₹30 – 50 LPA
8. AI Consultant (Generative AI)
Role & Responsibilities
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Advise organizations on generative AI strategy and deployment
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Conduct feasibility studies and integrate AI into business workflows
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Recommend best practices for model performance, ethics, and compliance
Industries
Consulting firms, SaaS, AI startups, enterprise IT
Salary Range
-
Mid Level: ₹15 – 25 LPA
-
Senior Level: ₹25 – 45 LPA
9. Freelance Generative AI Specialist
Role & Responsibilities
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Develop custom generative AI models for clients
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Offer AI-powered content generation, automation, and model consulting
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Provide training and deployment support for enterprises
Earnings (India)
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Beginner: ₹80,000 – ₹1.5 lakh per month
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Experienced: ₹2.5 – 6+ lakh per month
10. Head of AI / Chief AI Officer (Long-Term Path)
Role & Responsibilities
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Lead generative AI initiatives and strategy across an organization
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Oversee AI engineering, MLOps, research, and deployment teams
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Align AI projects with business goals and innovation roadmap
Industries
Large enterprises, AI startups, SaaS, fintech
Salary Range
-
Senior Leadership: ₹50 LPA – ₹1.5+ Crore
Key Industries Hiring Generative AI Professionals in India
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AI Startups & SaaS Companies
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IT & Software Services
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Media, Entertainment & Marketing
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FinTech & Banking
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Healthcare & Medical Imaging
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E-commerce & Analytics Platforms
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Research & Development Labs
Career Outlook in India
Generative AI Engineers are in high demand due to the surge in AI applications for content, automation, and enterprise AI solutions. Skills in transformers, GANs, diffusion models, MLOps, and cloud deployment lead to top-tier salaries, leadership opportunities, and global remote roles.
