Generative AI Mastery: From Fundamentals to Advanced Applications
Program Overview:
This hands-on program covers the fundamentals and advanced concepts of Generative AI, including deep learning architectures, prompt engineering, large language models (LLMs), diffusion models, and real-world applications. Participants will gain practical experience through projects, assignments, and industry-relevant case studies.
Program Highlights:
- Expert-Led Training – Learn from AI industry professionals.
- Hands-on Projects – Real-world applications to build a strong portfolio.
- AI Internship – Work on AI industry projects.
- Certification from SkillSet Arena – Industry-recognized certificate.
- Career & Job Assistance – Resume building, interview prep, and networking.
Who is this for?
- AI enthusiasts & developers interested in Generative AI
- Data scientists & ML engineers looking to upskill
- Professionals aiming to integrate AI in their business/work
- Students & researchers exploring AI-driven innovations
Duration: 4 Months (16 Weeks)
Mode: Online
Goal: Equip learners with essential skills in Generative AI Mastery: From Fundamentals to Advanced Applications through hand-on projects and real-world applications.
Target Audience: Beginners to intermediate learner’s with basic programming and math knowledge.
Why Choose This Program:
SkillSet Arena’s 4-month Generative AI program is designed to provide a comprehensive,hands-on, and career-focused learning experience. Here’s why this program stands out.
1.Industry-Relevant & Future-Ready Curriculum:
- Covers everything from fundamentals to advanced applications of Generative AI.
- Hands-on learning with LLMs, GANs, Diffusion Models, and AI-driven Creativity.
- Focus on real-world applications across industries.
2.Learn from AI Industry Experts:
- Live & recorded sessions led by AI professionals.
- Direct mentorship and Q&A support throughout the program.
- Insights from guest lectures by AI practitioners.Hands-on Projects & Practical Implementation
3.Hands-on Projects & Practical Implementation:
- Work on multiple industry-grade projects.
- Get real-world exposure with AI-based text, image, video, and speech generation.
- Build a portfolio showcasing AI-powered applications.
4.AI Internship & Capstone Project:
- Work on real AI industry projects to gain practical experience.
- Apply AI to business scenarios and deploy real-world AI applications.
- Capstone Project: Develop a custom Generative AI solution.
5.Certification & Career Support:
- Earn a SkillSet Arena Certification recognized in the industry.
- Resume building, AI-focused interview prep, and job search assistance.
- Guidance on freelancing & AI entrepreneurship.
What You’ll Achieve:
- Master Generative AI tools & techniques.
- Create AI-powered applications.
- Gain hands-on experience with AI models.
- Boost your career in AI & ML.
Program Structure:
Month(1st):
Week 1: Python for AI & Machine Learning:
- Introduction to Python & AI.
- Python Basics: Variables, Data Types, Functions, Loops.
- Data Handling with NumPy & Pandas.
- Data Visualization with Matplotlib & Seaborn.
- Hands-on: Basic Data Analysis & Visualization on a Dataset.
Week 2: Fundamentals of Machine Learning:
- What is Machine Learning? Supervised vs. Unsupervised Learning.
- Linear Regression & Logistic Regression.
- Classification Algorithms: Decision Trees, Random Forest.
- Clustering (K-Means) & Dimensionality Reduction.
- Hands-on: Building a Simple ML Model with Scikit-Learn.
Week 3: Introduction to Deep Learning & Neural Networks:
- What is Deep Learning? How is it Different from ML?.
- Understanding Neural Networks: Perceptron, Activation Functions.
- Introduction to TensorFlow & Keras.
- Hands-on: Building a Basic Neural Network for Image Classification.
Week 4: Natural Language Processing:
- Introduction to NLP.
- Sentiment Analysis with NLP.
Month(2-3): Generative AI & Prompt Engineering:
Generative AI refers to artificial intelligence models that can create new content, including text, images, audio, and code. These models, such as GPT and Stable Diffusion, leverage deep learning techniques like neural networks and transformers to generate human-like outputs. Prompt engineering is the practice of crafting effective inputs (prompts) to optimize AI-generated responses. By refining prompts, users can control AI behavior, improve accuracy, and generate creative or task-specific results. Mastering prompt engineering is essential for leveraging generative AI in applications like chatbots, content creation, automation, and data analysis, making it a powerful tool for businesses and developers.
- Generative AI Fundamentals
- LLM –Large Language Models
- OpenAI
- Prompt Engineering
- Transformer and Attention Mechanism
- GPT,VAE,GAN
- Retrieval Augmented Generation RAG
- AgenticAI
- Langchain
- Ollama / Lama
- Langgraph
- API Key
- VectorDatabase
- Mistral
- Gemini
- Google AI studio
- Search tools
- DuckduckGo
Month 4(Internship):
- Internship Duration: 4 Weeks (1 Month) | Hands-on, Project-Based Learning.
- Objective: This internship provides practical experience in Generative AI, allowing interns to work on real-world applications, enhance their technical skills, and build a strong portfolio.
Internship Highlights:
- Hands-on Learning – Real-world AI projects & implementation.
- Portfolio Building – Showcase AI-generated applications.
- Mentorship & Feedback – Guidance from AI industry experts.
- Certification of Internship.
- Industry Readiness – Resume, LinkedIn, & AI interview preparation.
Internship Structure:
- Understanding & Experimenting with Generative AI Models.
- Fine-Tuning & Customizing AI Models.
- Real-World Applications & Deployment.
- Capstone Project & Industry Readiness.
- Final Project Presentation & Evaluation.
Upon completing the Generative AI Mastery: From Fundamentals to Advanced Applications program from SkillSet Arena, candidates will have gained hands-on expertise in Generative AI, including Large Language Models (LLMs), GANs, Diffusion Models, and Multimodal AI. They will be proficient in building AI-powered text, image, video, and speech generation applications using tools like Python, TensorFlow, PyTorch, Hugging Face, and OpenAI APIs.
Graduates will have developed practical AI solutions, fine-tuned models, and explored prompt engineering, AI ethics, and deployment strategies. Through real-world projects and a capstone AI application, they will have built a strong portfolio showcasing their skills.
With mentorship, career support, and internship opportunities, they will be prepared for roles in AI research, machine learning engineering, and AI-driven product development. This SkillSet Arena certification validates their expertise, making them industry-ready for careers in top tech companies, startups, and AI innovation labs.