Generative AI Course
Build Smarter Apps.Lead Innovation.
Unlock the power of Generative AI with our hands-on, future-ready course designed for developers, data analysts, tech educators, and AI enthusiasts. In a world driven by intelligent automation, this course equips you with in-demand skills to build AI-powered applications using GPT, LLaMA, Gemini, and other cutting-edge models. Learn prompt engineering, RAG, embeddings, vector databases, agents, and low-code tools to create real-world solutions across domains like education, business, and content creation.
What You Will Learn
Large Language Models
Master the fundamentals of Large Language Models (LLMs) like GPT, Claude, and LLaMA. Learn how they generate human-like text, understand context, follow instructions, and power real-world AI applications in chatbots, content creation, automation, and more.
Python
Build a strong foundation in Python programming to interact with AI models, manipulate data, automate tasks, and develop intelligent applications. Learn key libraries, control structures, APIs, and workflows essential for generative AI development.
Prompt Engineering
Learn how to craft effective prompts to guide AI outputs with precision and creativity. Explore techniques like zero-shot, few-shot, and chain-of-thought prompting to improve model responses for chatbots, content generation, and workflow automation.
RAG
Master Retrieval-Augmented Generation (RAG) to enhance LLMs with external knowledge. Learn how to connect models with vector databases, fetch relevant context, and generate accurate, grounded responses for document-based Q&A and enterprise search.
Embedding
Understand how to convert text into high-dimensional vectors using embeddings. Learn to create semantic search, similarity matching, and context-aware AI systems by working with tools like OpenAI embeddings, FAISS, and vector databases.
Function Calling
Learn how to extend LLMs with function calling to execute tasks, connect to APIs, fetch live data, and perform dynamic operations. Build intelligent workflows that integrate model predictions with real-time actions and external tools.
AI Agents Framewrok
Discover how to build autonomous AI agents that plan, reason, and act using frameworks like LangChain, CrewAI, and AutoGen. Create goal-driven bots that can search, make decisions, use tools, and collaborate to complete complex tasks efficiently.
AI Agent, Integration of AI
Learn how to deploy AI agents across apps, APIs, and business tools. Master real-world integration techniques to embed generative AI in websites, customer service workflows, productivity tools, and decision-making pipelines for seamless automation.
Running Models Locally
Explore how to run open-source models like LLaMA, Mistral, and Gemma on your local machine. Learn setup, optimization, and offline deployment techniques to ensure privacy, cost-efficiency, and full control over AI applications.
What You Will Learn
GenAI Developer
Kickstart your journey as a GenAI Developer. Learn to build intelligent apps, automate workflows, and create AI solutions using LLMs, prompts, APIs, and real-time data integrations.
AI Engineer
Step into the role of an AI Engineer. Design, develop, and deploy AI systems using advanced models, embeddings, and tools to solve complex problems across industries.
ML Engineer
Become a skilled ML Engineer. Work with data pipelines, train machine learning models, and integrate them with generative AI to power intelligent applications and business insights.
Data Scientist
Unlock opportunities as a Data Scientist. Analyze complex data, build predictive models, and enhance them with generative AI to uncover deeper insights and drive smarter decisions.
AI Research Specialist
Pursue a path as an AI Research Specialist. Explore cutting-edge techniques, experiment with LLMs, and contribute to advancements in generative AI by developing innovative solutions and publishing impactful work.
