Coming Soon
Intermediate
Generative AI Application Development with LLMs
Learn to build real-world AI applications using Prompt Engineering, OpenAI APIs, LangChain, Vector Databases, RAG, Chatbots, AI Agents, and deployment techniques for modern Generative AI solutions.
Recommended Course Audience
Pre-Required Skills
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Python programming fundamentals
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Basic Machine Learning and Deep Learning understanding
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Familiarity with transformers and LLM concepts
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Understanding of APIs, JSON, and data handling beneficial
Course Highlights
14 modulesLearn to build AI-powered applications using Prompt Engineering, OpenAI APIs, LangChain, Vector Databases, RAG, Chatbots, and AI Agents. Gain hands-on experience integrating Large Language Models into real-world solutions. By the end, learners can design, develop, deploy, and maintain practical Generative AI applications independently.
Learn how to design effective prompts that improve AI responses. Explore prompting techniques, prompt patterns, role-based prompting, and best practices for obtaining accurate and reliable outputs.
Discover how Large Language Models can enhance productivity through content generation, summarization, research assistance, document creation, and workflow automation for personal, academic, and professional tasks.
Learn how to interact with AI models using APIs. Understand API requests, responses, authentication, parameters, and integration techniques for building AI-powered applications and services.
Explore the LangChain framework for developing LLM-powered applications. Learn chains, prompts, memory, tools, and workflows that simplify building intelligent AI systems and applications.
Understand embeddings and semantic search concepts. Learn how vector databases store and retrieve information efficiently to support intelligent search, retrieval, and recommendation systems.
Learn how RAG combines external knowledge with Large Language Models. Build applications that retrieve relevant information and generate accurate, context-aware, and reliable responses.
Develop intelligent chatbots capable of answering questions and assisting users. Learn conversational design, context handling, response generation, and integration with LLM-powered systems.
Learn how to automate repetitive tasks using AI. Integrate AI capabilities into workflows, business processes, and productivity systems to improve efficiency and decision-making.
Understand the fundamentals of AI agents, decision-making, planning, tool usage, and task execution. Learn how agents perform autonomous actions to achieve specific objectives.
Explore open-source AI models and the Hugging Face ecosystem. Learn how to discover, use, and deploy pre-trained models for various AI and Generative AI applications.
Learn the fundamentals of deploying AI applications. Understand hosting, APIs, deployment workflows, monitoring, and best practices for making AI solutions accessible to users.
Understand ethical AI development, model limitations, hallucinations, bias, privacy concerns, and guardrail techniques that help build safe, trustworthy, and responsible AI systems.
Apply the concepts learned throughout the course to build complete Generative AI applications. Design, develop, test, and deploy practical projects using modern AI technologies.
$250.00
This course is coming soon. Enrollment is not yet open.
For any support or technical enquiries, please reach out to info@solixacademy.com
Level
:
Intermediate
Modules
:
14
Duration
:
60 hours