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Applied Generative AI: From Foundations to Production

  • 24/7 Support
  • 3 Months
  • 120 Sessions

Course Description

The Applied Generative AI: From Foundations to Production course is designed to help learners master the end-to-end lifecycle of generative AI solutions. Starting from core concepts like LLMs and prompt engineering, the course progresses to building real-world AI applications using APIs, vector databases, and modern frameworks.

With a strong focus on hands-on learning, learners will gain practical experience in creating chatbots, automation tools, and scalable AI-powered systems. The course also covers responsible AI practices, optimization techniques, and deployment strategies, ensuring learners are industry-ready.

 
 

One to One personalized training Schedule for Applied Generative AI: From Foundations to Production

EkasCloud provides flexible training to all it's student. Here is our training schedule. Incase you find these timings difficult, please let us know. We will try to arrange appropriate timings based on your Convenience.

02-05-2026 Saturday (Monday - Friday) Weekdays Regular 08:00 AM (IST) (Class 1Hr - 1:30Hrs) / Per Session
04-05-2026 Monday (Monday - Friday) Weekdays Regular 08:00 AM (IST) (Class 1Hr - 1:30Hrs) / Per Session
06-05-2026 Wednesday (Monday - Friday) Weekdays Regular 08:00 AM (IST) (Class 1Hr - 1:30Hrs) / Per Session
07-05-2026 Thursday (Monday - Friday) Weekdays Regular 08:00 AM (IST) (Class 1Hr - 1:30Hrs) / Per Session

Course Detail

The Applied Generative AI: From Foundations to Production course is designed to help learners master the end-to-end lifecycle of generative AI solutions. Starting from core concepts like LLMs and prompt engineering, the course progresses to building real-world AI applications using APIs, vector databases, and modern frameworks.

With a strong focus on hands-on learning, learners will gain practical experience in creating chatbots, automation tools, and scalable AI-powered systems. The course also covers responsible AI practices, optimization techniques, and deployment strategies, ensuring learners are industry-ready.

 
 

Generative AI is transforming industries—from content creation to automation and intelligent systems. This course helps you stay ahead by giving you practical, job-ready skills in one of the fastest-growing tech domains.

You will learn not just theory, but how to actually build and deploy AI applications used in real businesses. Whether you're a developer, IT professional, or entrepreneur, this course enables you to leverage AI for innovation, productivity, and career growth.

Why Choose This Course?

  • Hands-on Practical Learning – Build real-world projects, not just theory
  • Industry-Relevant Tools – Work with modern AI tools, APIs, and frameworks
  • End-to-End Coverage – From fundamentals to production deployment
  • Job-Focused Curriculum – Designed for roles like Generative AI Engineer & AI Developer
  • No-Code + Coding Approach – Suitable for both beginners and developers
  • Real Business Use Cases – Learn applications in automation, chatbots, and content generation
  • Expert-Led Training – Based on real industry experience and use cases

Key Learning Outcomes

By the end of this course, you will be able to:

  • Understand core concepts of AI, ML, Deep Learning, and Generative AI
  • Work with Large Language Models (LLMs) effectively
  • Design and optimize prompts for high-quality AI outputs
  • Integrate AI capabilities using APIs (Python & JavaScript)
  • Build AI-powered applications like chatbots and automation tools
  • Implement Retrieval-Augmented Generation (RAG) using vector databases
  • Use frameworks like LangChain and LlamaIndex for application development
  • Develop full-stack AI applications with user interfaces
  • Optimize performance, cost, and scalability of AI systems
  • Apply ethical and responsible AI practices in real-world scenarios

 We check your knowledge before we start the session.

 We build foundational topics first and core topics next.

 Theory classes with a real-time case study.

 Demo on every topic.

 You will learn how to design architecture diagrams for each service.

 Mock exam on every topic you understand.

 
 
 

Applied Generative AI: From Foundations to Production Syllabus


3 Months Course 50% Theory 50% Lab Daily Home work & Real time Projects Unlimited Mock Exams Unlimited Mock Interview

Topics Covered

  • Master the fundamentals of AI, Machine Learning, and Generative AI
  • Understand how powerful Large Language Models (LLMs) like ChatGPT work
  • Learn in-demand Prompt Engineering techniques used by AI professionals
  • Create high-quality outputs using advanced prompt strategies
  • Integrate AI into real applications using APIs (Python & JavaScript)
  • Automate business workflows using AI and no-code tools
  • Build smart systems using embeddings and vector databases
  • Develop advanced AI solutions using Retrieval-Augmented Generation (RAG)
  • Create real-world AI apps using LangChain, LlamaIndex, and modern UI tools
  • Optimize, secure, and deploy AI solutions with responsible AI practices
 

Frequently asked question

Q: What if I miss a class?
A: We will stop the course for you because it is one-to-one or one-to-two students only.

Q: Will I get placement assistance?
A: Yes. You will get it once you are Certified.

Q: What if I have queries after I complete this course?
A: You can check our blog or send your queries from our website, social media like Facebook, Linkedin, Instagram, Twitter, and Youtube.

Q: How soon after signing up will I get access to the course?
A: Once you join the course, our Counselor Manager book a slot with our Trainer based on your and Trainer's available time.

Q: Is the course material accessible to the students even after the course training is over?
A: Yes, you can access our course material. Not only material, but you can also watch short and sweet videos from our Youtube Channel.

Q: What is the average salary ?   
A: $1,30,000

Q: How will this course help me pass the certification?
A: We provide separate Training for Exam and Interviews. In this Training will get more experience to pass Your Exam.

 

Admission Process

If a student want to take admission in any course he has to go with the following steps

Step 1
1 Hour Interview
  • Discuss Learning Goals: Understand the candidate’s career objectives, learning expectations, and prior experience (if any).
  • Personalized Course Recommendation: Based on the discussion, recommend the most suitable course.
  • Course Customization: Tailor the course plan to fit the candidate’s needs, including scheduling flexibility.
Step 2
3 Hour Assessment Session
  • Technical Skills Evaluation: Hands-on tasks or exercises to evaluate the candidate’s current technical understanding (for advanced courses).
  • Cloud Fundamentals Check: For entry-level courses, a basic assessment of cloud knowledge and IT skills.
  • Feedback & Results: Provide instant feedback and suggest an appropriate course path based on assessment performance.
Step 3
Final Enrollment

Upon successful completion of the assessment, candidates receive a customized learning path, course schedule, and payment options. Candidates can finalize their enrollment by agreeing to the course structure and payment plan.


Applied Generative AI: From Foundations to Production Fees
£ 2600