Generative AI Course in Haldwani Practical Training & Certification
Build real-world AI applications using GPT, LLaMA, Gemini, and modern Generative AI tools.
Our Generative AI Course in Haldwani is designed and delivered by experienced industry professionals, focusing on practical and job-relevant skills. This hands-on program covers real-world applications using GPT, LLaMA, Gemini, prompt engineering, RAG, embeddings, vector databases, and AI agents. At Digital Training Lab, students gain structured learning, practical experience, and career-focused training to build reliable AI-powered solutions for business, education, automation, and content creation.
What You Will Learn
Large Language Models
You need to learn the basic principles which govern large language models. You need to study their human text generation process and their ability to comprehend context and their command following skills and their use in actual chatbot systems and content development and automation and other applications.
Python
Through this program, students will establish the necessary Python programming skills to work with AI models and perform data manipulation and task automation and create smart applications. The program teaches essential libraries and control structures and APIs and workflows that developers need to create generative AI systems.
Prompt Engineering
The course teaches students how to create prompts which produce specific results when their AI systems generate text. Students will learn about zero-shot and few-shot and chain-of-thought prompting techniques which they will use to enhance model performance in chatbots and content creation and workflow automation.
RAG
Master Retrieval-Augmented Generation (RAG) to enhance LLMs with external knowledge. The course teaches students to connect models with vector databases which enables users to retrieve relevant context for generating document-based Q&A and enterprise search results.
Embedding
Learn to convert text into high-dimensional vectors using embeddings, and build semantic search, similarity matching, and context-aware AI systems with OpenAI embeddings, FAISS, and modern vector databases for real-world applications and intelligent information retrieval solutions.
Function Calling
Learn how to extend LLMs with function calling to execute tasks, connect to APIs, fetch live data, and perform dynamic operations. Create smart workflows which combine model forecasts with immediate operational activities and external system interactions.
AI Agents Framewrok
Learn to build autonomous AI agents using LangChain, CrewAI, and AutoGen that plan, reason, use tools, collaborate, research information, make decisions, and achieve complex objectives across real-world workflows independently efficiently scalably.
AI Agent, Integration of AI
Learn how to deploy AI agents across apps, APIs, and business tools. Master real-world techniques to use generative AI in websites and customer service workflows and productivity tools and decision-making pipelines for automated systems.
Running Models Locally
Explore how to run open-source models like LLaMA, Mistral, and Gemma on your local machine. The course provides training on how to establish systems while optimizing performance and running AI systems in offline mode to achieve complete privacy and cost savings and total operational authority.
What You Will Learn Generative AI course
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.
