Gen AI
40+ Hours of Expert-Led Video TrainingInteractive Labs: Experiment with prompt engineering, text-to-image generation, and multimodal AI systems10+ popular tools and libraries like Python, TensorFlow, Pandas and NumPy5+ Real Industry Case StudiesCareer-Boosting Resources: Resume guidance, interview prep, and portfolio tips to help you land your dream AI/ML job.
Course Overview
Enhance productivity with practical techniques for automating workflows.
Develop skills in creating high-quality AI-generated text, images, and designs.
Learn ethical and responsible AI usage to align with business values.
Stay ahead of industry trends with expert-led, actionable training.
what you will learn
- Analytical and problem-solving skills to design AI-driven solutions.
- Proficiency in AI tools for text generation, image creation, and automation.
- Development and documentation of AI use cases and workflows.
- Application of machine learning principles and project management methodologies.
- Techniques for training, fine-tuning, and deploying generative AI models.
- Data analysis and processing to uncover patterns and optimize AI outputs.
- Ethical considerations and responsible AI practices.
- Technical skills to integrate generative AI solutions into business systems.
Next Cohort Starts On 30 Nov
Skilled Covererd
- Feature engineering
- Implementating and training ML models
- Model evaluation techniques: accuracy, precision, recall, and F1-score
- Model optimization techniques: cross-validation and hyperparameter tuning
- Data Visualization
Benefits
The certification can help you land lucrative roles in IT, manufacturing, finance, healthcare, and other exciting industries certified project managers drive better project performance and are often rewarded with substantial pay raises as shown below.
Designation
Annual Salary
Hiring Companies
Course Curriculum
Introduction to Generative AI
What is Generative AI
History and Evolution of AI
Difference between AI, ML, and Gen AI
Applications of Gen AI across industries
Foundations of AI & ML
Natural Language Processing (NLP)
Generative AI Models
Large Language Models (LLMs)
Generative AI for Images & Multimedia
Tools and Frameworks
Prompt Engineering & Practical Applications
Responsible AI & Ethics
Capstone Project / Hands-on Labs
Gen AI FAQ
Generative AI refers to technology that can create new content — text, images, code, videos, or music — by learning patterns from data. Examples include ChatGPT, DALL·E, and Midjourney.
It’s ideal for beginners, developers, and professionals who want to learn how to use, build, and apply GenAI systems in real-world contexts.
Basic Python knowledge helps, but the course includes guided tutorials for beginners. You’ll be able to follow along even if you’re new to coding.
You’ll gain practical, in-demand GenAI skills that can help you land roles in AI development, automation, content creation, or innovation strategy, and stand out in a competitive market.
Eligibility
- Master the Hottest AI Skill: Generative AI is one of the fastest-growing areas in tech, creating massive career demand.
- High-Paying Roles: GenAI specialists and prompt engineers earn 30–60% higher salaries compared to traditional AI roles.
- Work in Top Industries: From tech and finance to media and healthcare, GenAI is revolutionizing every domain.
- Freelance & Remote Potential: Offer GenAI consulting or automation services to global clients.
- Build a Strong Project Portfolio: Demonstrate your ability to build custom AI models, automate workflows, and generate creative outputs.
Pre-requisites
- Basic understanding of Artificial Intelligence or Machine Learning concepts
- Basic Python programming skills
- Knowledge of data structures and functions will be helpful.
- Familiarity with data handling (Excel, CSV, or Python libraries like Pandas) preferred.
Contact Us
1800-212-7688
(Toll Free)
Why join this program
Develop skills for real career growth
Cutting-edge curriculum designed in guidance with industry and academia to develop job-ready skills
Learn from experts active in their field, not out-of-touch trainers
Leading practitioners who bring current best practices and case studies to sessions that fit into your work schedule.
Learn by working on real-world problems
Capstone projects involving real world data sets with virtual labs for hands-on learning
Structured guidance ensuring learning never stops
24×7 Learning support from mentors and a community of like-minded peers to resolve any conceptual doubts
