Generative AI Course Overview
The Generative AI Certificate Training Course by Easy2Learn is a comprehensive upskilling program built to empower learners with the foundational and applied skills in generative artificial intelligence — one of the fastest-growing domains in technology today. This course blends conceptual understanding with practical, hands-on experience, enabling participants to not only grasp the theory behind generative models but also apply them to real-world projects.
What are the key objectives of this Generative AI course?
1. Mastering the principles of Generative AI prompting to craft accurate, bias-free AI responses.
2. Understand and fine-tune LLMs using techniques like LoRA, QLoRA, and RAG.
3. Build real-world GenAI applications like chatbots, content generators, and AI agents.
4. Gain hands-on experience through 20+ projects and live hackathons.
5. Prepare for high-growth roles like Prompt Engineer, AI Developer, and GenAI Specialist.
2. Understand and fine-tune LLMs using techniques like LoRA, QLoRA, and RAG.
3. Build real-world GenAI applications like chatbots, content generators, and AI agents.
4. Gain hands-on experience through 20+ projects and live hackathons.
5. Prepare for high-growth roles like Prompt Engineer, AI Developer, and GenAI Specialist.
What key skills will I learn in this Generative AI course?
Here are the key skills you will learn in the Generative AI course:
1. Prompt Engineering – Design effective prompts for accurate and context-aware AI outputs
2. LLM Fine-Tuning – Apply techniques like LoRA, QLoRA, and embeddings
3. RAG Systems – Build Retrieval-Augmented Generation pipelines using LangChain & LlamaIndex
4. AI Tools & Frameworks – Work with OpenAI APIs, Hugging Face, AutoGen, Gradio, and more
5. Bias & Hallucination Mitigation – Identify and reduce errors in AI-generated content
6. Agentic Workflows – Build intelligent AI agents with multi-step reasoning
7. Model Deployment – Deploy GenAI apps using Docker, Kubernetes, and containerized environments
8. Real-World Applications – Develop chatbots, content generators, summarizers, and more
1. Prompt Engineering – Design effective prompts for accurate and context-aware AI outputs
2. LLM Fine-Tuning – Apply techniques like LoRA, QLoRA, and embeddings
3. RAG Systems – Build Retrieval-Augmented Generation pipelines using LangChain & LlamaIndex
4. AI Tools & Frameworks – Work with OpenAI APIs, Hugging Face, AutoGen, Gradio, and more
5. Bias & Hallucination Mitigation – Identify and reduce errors in AI-generated content
6. Agentic Workflows – Build intelligent AI agents with multi-step reasoning
7. Model Deployment – Deploy GenAI apps using Docker, Kubernetes, and containerized environments
8. Real-World Applications – Develop chatbots, content generators, summarizers, and more
What job opportunities will I have as a Generative AI Engineer?
Upon completion of this Generative AI course, you will be qualified for high-demand roles such as Prompt Engineer, ML Engineer, GenAI Data Scientist. Top companies like Google, Microsoft, Apple, Amazon and Facebook are actively hiring for candidates with high packages.
According to recruitment firm TeamLease, In India over 22,000 new jobs in this domain have been created in just over six months and certified AI Prompt Engineers can earn a salary of over ₹ 20 lakhs per year in India.
Here’s a list of the top Gen AI job roles and the average salaries in the United States:
Generative AI Job Roles Average Salaries
Machine Learning Engineer $110,000 – $160,000
Gen AI Data Scientist $100,000 – $150,000
AI Research Scientist $120,000 – $180,000
AI Product Manager $120,000 – $170,000
AI Ethics Specialist $90,000 – $140,000
Data Engineer $90,000 – $130,000
NLP Engineer $100,000 – $150,000
Computer Vision Engineer $100,000 – $150,000
According to recruitment firm TeamLease, In India over 22,000 new jobs in this domain have been created in just over six months and certified AI Prompt Engineers can earn a salary of over ₹ 20 lakhs per year in India.
Here’s a list of the top Gen AI job roles and the average salaries in the United States:
Generative AI Job Roles Average Salaries
Machine Learning Engineer $110,000 – $160,000
Gen AI Data Scientist $100,000 – $150,000
AI Research Scientist $120,000 – $180,000
AI Product Manager $120,000 – $170,000
AI Ethics Specialist $90,000 – $140,000
Data Engineer $90,000 – $130,000
NLP Engineer $100,000 – $150,000
Computer Vision Engineer $100,000 – $150,000
