Building AI Applications with LLMs — Advanced

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Build modern AI applications with Learner Space Pro Building AI Applications with LLMs program. Explore LLM architecture, transformers, fine-tuning, and retrieval-augmented generation while learning how to integrate leading LLM APIs into practical solutions. From chatbots and document intelligence to enterprise search and analytics, develop the knowledge required to evaluate, deploy, monitor, and scale AI applications.
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Course Description

Key Takeaways
  • Understand LLM architecture, transformers, fine-tuning, and RAG 
  • Select and integrate leading LLM APIs into AI applications 
  • Build practical solutions such as chatbots, document intelligence, and enterprise search 
  • Evaluate LLM applications for accuracy, safety, reliability, and cost 
  • Apply production practices for monitoring, logging, optimization, and scalability 
Course Outline
  • LLM architecture: transformers, fine-tuning, retrieval-augmented generation (RAG) 
  • Selecting and integrating LLM APIs: OpenAI, Azure OpenAI, Google Gemini, Anthropic Claude 
  • Building AI applications: chatbots, document intelligence, enterprise search, analytics 
  • Evaluation frameworks for LLM outputs: accuracy, safety, reliability, and cost 
  • Production deployment: monitoring, logging, cost optimization, and scaling strategies 
Duration

3 days

Exam Details

Course Completion Certificate by Learner Space Pro

Who should attend
  • Software developers and engineers 
  • AI and machine learning professionals 
  • Data professionals 
  • Application architects 
  • Technical AI teams 
  • Professionals building LLM-powered applications 
Prerequisites
  • Basic programming and software development knowledge 
  • Familiarity with APIs and application development 
  • Basic understanding of AI or machine learning concepts 
  • Cloud and development environment experience is beneficial 

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Our instructors

Mohammad Gufran Network Binary

MOHAMMED GUFRAN

17 years of Experience
Enterprise Networking | Network Security | Cybersecurity | Software Defined Networking & Automation

MUHAMMAD MUSAB

5+ Years of Experience
Cisco Certified Instructor (CCSI) | Enterprise & Data Center Specialist

ZUBAIR ZAIDI

5+ years of Experience
Cisco Certified Instructor | Corporate Trainer | Networking Specialist

AKMAL YAZDANI

18+ years of Experience
Azure & AWS services |Managing and Implementing Windows servers

SHAYISTA SHAFI

3+ years of Experience
Cisco Certified Instructor | Networking & Wireless Specialist

NEELOFAR LATIEF

3+ years of Experience
Routing and Switching | Wireless Technologies | Software Design Networks
Faizan Ahmad IT Advisor

FAIZAN AHMAD

7 years of Experience
Microsoft Instructor | IT Support & Systems Specialist
cisco Instructor in Dubai Saad shah

SAAD SHAH

5+ years of Experience
Cisco Technologies | Routing and Swtiching | Data Center | Security

Ikra Khan

1+ Year Experiance
IT Trainer | System & Network Administrator

ABRAR AHMAD

10 years of Experience
Microsoft | Cisco Technologies | Routing and Swtiching | Excel | Network Administration

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FAQs

Do I need programming experience?

Yes. Programming and software development fundamentals are recommended for this advanced course.

What is RAG?

Retrieval-Augmented Generation is an approach that enables LLM applications to retrieve relevant information from external data sources when generating responses.

Which LLM platforms are covered?

The course includes OpenAI, Azure OpenAI, Google Gemini, and Anthropic Claude APIs.

Will I learn production deployment?

Yes. Monitoring, logging, cost optimization, and scaling strategies are included.

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