| Course Name | Duration | Classes | Total Fee | Mode of Training | Class Timing |
|---|---|---|---|---|---|
|
Generative AI Course |
3 Months |
60 |
20,000 PKR |
Online & Face-to-Face |
To be decided mutually with students |
Generative AI Training Certification Course
In addition to validating your technical skills, Generative AI Certification can help you advance your expertise. Once you are Generative AI Certified, you’ll be eligible for perks that help you show off your achievements and keep learning. Register for exams and claim benefits at Technocation training.
Technocation provides an excellent faculty and qualified developers as there is a remarkable prospect in this field. One can make his/her Career with the help of both Generative AI and establish an identity and get guidance in Rawalpindi.
Therefore, we aim to shape inspiring students with in-depth training to meet the requirements of the IT industry and build substantial grounds in Generative AI Training by exhibiting students with various projects. Technocation also bestows the Best Generative AI Training Course in Rawalpindi, Islamabad.
We guide people from every background to change their lives via our career-oriented short-term courses in Rawalpindi. Our evening and online course primarily focus on school, college, university students, and full/part-time employees.
Advantages of Generative AI
- Automates Content Creation
- Enhances Productivity
- Boosts Innovation & Creativity
- Improves Personalization
- Supports Businesses & Marketing
- Helps in Software Development
Generative AI Training Certification Course Outline
Generative AI boosts productivity, enhances creativity, automates tasks, personalizes experiences, and drives innovation across multiple industries.
Module 1: Introduction to Generative AI
- What is Generative AI?
- Evolution of AI: From Rule-Based to Generative Models
- Applications of Generative AI (Text, Images, Audio, Video, Code)
- Ethical Considerations & AI Bias in Generative Models
Module 2: Fundamentals of Deep Learning for Generative AI
- Overview of Neural Networks & Deep Learning
- Understanding Autoencoders & Variational Autoencoders (VAEs)
- Backpropagation & Optimization Techniques
- Introduction to PyTorch & TensorFlow for Generative AI
Module 3: Language Models & Text Generation
- Natural Language Processing (NLP) Basics
- Working with Large Language Models (LLMs)
- Text Generation using GPT (ChatGPT, GPT-4, LLaMA)
Module 4: Image Generation with Generative AI
- Introduction to Convolutional Neural Networks (CNNs)
- Style Transfer & Image Synthesis
- Generative Adversarial Networks (GANs) for Image Generation
- Diffusion Models (Stable Diffusion, DALL·E)
Module 5: Audio & Video Generation
- Speech Synthesis & Text-to-Speech (TTS) Models
- Music Generation using AI (Jukebox, Magenta)
- Deepfake Technology & Video Synthesis
- Ethical & Legal Considerations in AI-Generated Media
Module 6: Code Generation & AI for Software Development
- AI-Powered Code Assistants (GitHub Copilot, Tabnine)
- Generating Code with LLMs (Codex, ChatGPT)
- Automating Software Development with AI
- Debugging & Code Optimization using Generative AI
Module 7: Fine-Tuning & Custom AI Model Training
- Collecting & Preprocessing Data for Custom AI Models
- Transfer Learning & Model Fine-Tuning Techniques
- Training Custom GPT, Stable Diffusion, or GANs
- Evaluating & Deploying Fine-Tuned Models
Module 8:Deploying Generative AI Applications
- Using APIs (OpenAI, Hugging Face, Stability AI)
- Building AI-Powered Chatbots & Virtual Assistants
- Cloud-Based AI Deployment (Google Cloud, AWS, Azure)
- Monetizing Generative AI Applications
Final Module: Capstone Project & Certification
- Hands-on Project: AI-Generated Content in a Real-World Scenario
- Model Evaluation & Performance Optimization
- AI Ethics, Bias Mitigation & Responsible AI Practices
- Course Completion Certification
Experience and Inspiring Trainers:
Our trainers bring their years of industry experience during the course. They are expert and passionate about delivering inspiring training as they know training inside out. They will advise you on all the options to make sure you get the best possible result.
Real-time Practice and Projects:
Our Generative AI course is comprehensive and practical. Moreover we work on industry related projects.
Prerequisites for Generative AI Course:
- Basic Understanding of AI & Machine Learning:
- Familiarity with AI concepts and how machine learning works.
- Programming Knowledge: Proficiency in Python (preferred for AI & ML).
- Mathematics & Statistics: Understanding of linear algebra, probability, and statistics for AI models.
- Data Handling Skills: Knowledge of data preprocessing, cleaning, and manipulation.
- Experience with AI Frameworks: Basics of Tensor Flow, PyTorch, or Keras for model building.
- No prior experience in Generative AI is required, but having these basics will help in grasping concepts faster.
Certificate:
Finally completing this training you will receive a course completion certificate along with internship in Generative AI Training so you can get recognition for your new skills.
Course Material:
Softy Copy notes are briefly included in this course
Support and Careers Advice:
In the end our trainers are always ready to help you for any problems or question regarding Generative AI. We prepare students for facing Interview questions on Generative AI and help them to build their online resume. Our more than 90% students are placed in good MNCs.
“Our Student Success is Our Mission”.
