Generative AI with Certification
190,000+ strong network: Global expertise, practical skills, & ethical leadership.
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Generative AI with Certification
The importance of GenAI lies in its ability to transform various sectors by enabling creative innovation and improving efficiency. From personalized learning in education to enhanced drug discovery in healthcare, Generative AI is reshaping industries and offering new opportunities for growth and development. As Generative AI continues to evolve, it provides a promising avenue for those looking to pursue careers in technology, including Generative AI courses online with certification and real-time training.
Program Highlights
Discover the advantages of Generative AI with Certification
Career in Generative AI with Certification
In-Depth Learning
Skill Enhancement
Professional Growth
GTR Certification
Future-Ready Skills
10+
Other Benefits
Step into the world of high-paying careers 🚀
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Years Operations
Know Your Mentor
Extensive expertise in applying AI and ML within the financial services industry
Specialized in designing ML project architectures, managing ML Ops, NLP, Computer Vision, and other technologies
Passionate about training learners with cutting-edge knowledge and hands-on experience
Successfully delivered 15+ AI projects across diverse sectors
Adept at integrating theoretical concepts with practical applications to foster a deep understanding
10+ years of experience
5000+ hours of training
Trained 7000+ students
Course Curriculum
Foundations of AI and ML: Difference between discriminative vs
generative models
Introduction to key Generative AI models
The evolution from GPT-2 to GPT-4 / GPT-4o and beyond
How GenAI models are trained, evaluated, and deployed
Understanding ethical, legal, and societal implications (bias,
misinformation, hallucinations)
LLMs (Large Language Models): Architecture overview
(Transformers), Pretraining vs Fine-tuning, RLHF, Inference
Embeddings: Vector representations, semantic similarity, use in
search, recommendation, and RAG.
Prompt Engineering: Role prompting, chain-of-thought, few-shot
prompting, constraint-based prompting
Prompt testing, evaluation metrics, and iterative refinement
Fine-Tuning: When to fine-tune vs use APIs
Tools: Hugging Face, LangChain, OpenAI API
Selecting a base model (GPT, Claude, open-source alternatives)
Designing conversation flow and behavior using prompt chaining
Integrating memory, tools (search, calculators), and APIs
Adding an open source UI to different models
Shift from LLMs to multi-modal AI (text, image, video, code)
Role of agents and tool-use
Open-source vs proprietary ecosystems
Compliance, safety layers, and trust-building in enterprise GenAI
Emerging roles: AI product managers, prompt engineers, AI
ethics leads
Introduction to VAEs
Understanding Autoencoders and Variational Autoencoders
Mathematical Foundations of VAEs
Applications of VAEs in Image Generation and Data Imputation
Hands-on Project: Building and Training a VAE
Who is this course for?
Tech Enthusiasts: Anyone passionate about data, AI, and solving real-world problems. No prior coding experience? No problem—our beginner track starts from scratch!
Transition seekers: Professionals from IT, engineering, business or analytics looking to pivot into data science.
Working Professionals: Mid-level professionals who want to enhance their current roles by leveraging data-driven decision-making or move into data-centric leadership roles like Data Analyst, BI Developer, or Data Product Manager.
Entrepreneurs & Freelancers: Business owners and consultants aiming to make smarter business decisions by using data insights, improving marketing strategies, tracking KPIs, and driving growth through data intelligence.
Managers & Team Leads: Leaders looking to better understand data workflows, dashboarding, and reporting tools to effectively manage data teams or collaborate with tech stakeholders.
Academic Aspirants: Students preparing for higher education or research in fields like artificial intelligence, data science, statistics, or machine learning who want a strong practical base before pursuing advanced studies.
Training Delivery
Discovery call
A call to evaluate training requirements and adjust course and delivery accordingly.
Tech call with Certified Instructor
A call with the instructor to address specific queries and requirements.
Customized Curriculum
Tailored curriculum to meet specific learning objectives and needs.
Training & LMS Access
Start training sessions with access to the Learning Management System.
Live Training
Interactive live sessions to enhance learning experience.
Hands-on Labs
Role-based training with practical exercises and labs.
Course Materials
Access course materials anytime through LMS.
Progress Metrics
Track student progress with analytics and reports.
Gamified Quiz
Engaging final quiz to reinforce learning.
🎓 Certificate of Completion
Get a verifiable certificate after successfully completing the training.
Student Video Testimonials
Watch real success stories shared by our students.
Choose Your Plan
Start your journey with flexible pricing options
Generative AI with Certification
Live Online
₹74,999
₹49,999
+ ₹30,000 after placement
✔ Live interactive classes
✔ Doubt solving sessions
✔ Placement support
Generative AI with Certification
Recorded (12 Months Access)
₹22,499
₹14,999
✔ Recorded lectures
✔ Mock tests & question bank
✔ Doubt support
Frequently Asked Questions
The program covers core concepts of Generative AI, including large language models (LLMs), prompt engineering, AI tools, model deployment, and real-world project implementation to ensure practical exposure.
This course is ideal for working professionals, students, developers, data analysts, and anyone looking to build a career in AI or upgrade their skills with cutting-edge Generative AI technologies.
Yes, the program emphasizes real-time learning through hands-on projects, case studies, and live scenarios to help learners gain practical experience and industry-ready skills.
Yes, participants will receive an industry-recognized certification upon successfully completing the training, which can enhance career opportunities in AI and related fields.
After completing the course, learners can explore roles such as AI Engineer, Prompt Engineer, Machine Learning Engineer, Data Scientist, and AI Product Specialist across various industries.
Approved Training Partner
Approved Training partner under the scheme for market-led fee-based services by NASSCOM
