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Foundation Models Course

Rated 5 out of 5

Infibee Technologies offers India’s No.1 Foundation Models Course with Global Certification and Real-Time Projects Training.

Begin your career with Foundation Models Training, guided by 10 + years of industry-experienced experts with affordable Language Models (LLM) Course fees, mock projects, resume preparation, interview preparation, practical learning, and lifetime access to recorded live sessions.

Join our Foundation Models Training Institute and ignite your Large Models (LLM) career future with high-paying jobs in top companies.

Other related Foundation Models Training include:

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25 hrs of E-Learning Videos
4.7
4.8
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Foundation Models Course Overview

Infibee’s Foundation Models Course is designed to help students and professionals understand, develop, customize, and deploy modern AI foundation models. The training covers LLM fundamentals, model architectures, prompting, embeddings, fine-tuning, RAG, AI agents, APIs, evaluation, and practical AI application development.

Introduction to Foundation Models

Foundation Models are large-scale AI models trained on extensive datasets and adaptable to multiple tasks such as text generation, summarization, question answering, coding, image understanding, and intelligent automation. The course provides practical knowledge of how these models are developed and integrated into real-world applications.

Importance of Foundation Models

Foundation Models are becoming an important component of modern AI solutions. Organizations use them to build intelligent assistants, automate workflows, analyze information, improve customer experiences, and develop AI-powered products.

Purpose of Foundation Models Course

This course aims to develop practical skills in model selection, prompt engineering, embeddings, RAG pipelines, fine-tuning, model evaluation, API integration, and AI application deployment.

Why the Course Is Important

Foundation Models Training helps learners bridge the gap between AI concepts and practical implementation. Students and professionals gain project experience that can support AI development and engineering careers.

Industry Demand and Future Scope

Foundation Models are being adopted across technology, healthcare, finance, retail, education, manufacturing, telecommunications, and professional services. Future opportunities are expected across LLM applications, AI agents, model customization, enterprise AI, and AI engineering.

Foundation Models Course Topics, Applications & Tools

Foundation Models Course Topics Covered Applications of Foundation Models Course Tools Used
Foundation Model Architecture AI Assistants Python
LLM Fundamentals Intelligent Chatbots PyTorch
Prompt Engineering Content Generation Hugging Face
Embeddings & Vector Databases Semantic Search LangChain
RAG Architecture Enterprise Knowledge Systems LlamaIndex
Fine-Tuning Domain-Specific AI OpenAI APIs
Model Evaluation AI-Powered Automation Google Gemini
AI Agents Autonomous Workflows Vector Databases
API Integration AI Application Development Git & GitHub
Deployment & Monitoring Enterprise AI Solutions Cloud Platforms

Why Choose Infibee Technologies for a Foundation Models Course?

  • Industry-Experienced Trainers
  • Real-Time Project Exposure
  • Hands-On Learning
  • Certification Support
  • Affordable Course Fees
  • Flexible Training Modes
  • Career Support
  • Practical Teaching Methodology

Best Foundation Models Course – Get Certified with Infibee Technologies

Infibee Technologies – India’s leading Foundation Models Course Institute, offers industry-focused Foundation Models Training designed to develop practical skills in foundation models, LLMs, Generative AI, RAG, AI agents, APIs, and AI application development.

Trainer Experience

Our trainers bring over ten years of real work in AI, machine learning, software work, and new tech. In class, they share practical views so you can understand foundation models, LLMs, prompt work, RAG, fine tuning, and AI agents. They also show how to use these ideas in ways that fit the current industry.

Real-Time Project Exposure

Learner will get hands-on experience on various real time Foundation Models Projects as per Industry oriented Use Cases. During the course learner will build various types of Applications using Large Language models (LLMs), create RAG Pipelines, Develop Embeddings & Prompt Engineering techniques, Implement AI Agents, Work with various APIs, Build Deployment Workflows etc. Project Based Learning will help to enhance Technical Skills & learn about Implementation Challenges & will give Confidence for Developing Practical AI Solutions.

Certifications & Company Background

Infibee Technologies provides certification guidance to help learners prepare for relevant industry-recognized AI and cloud certifications. Our Training focus towards providing Practical Knowledge as per Current Technology Requirements. We have successfully Placed 500+ Students into Leading MNCs & Top Software Companies. Our Team will support Learners through Career-Focused Technical Trainings.

Affordable Course Fees

Infibee Technologies provides affordable Foundation Models Course Training With Flexible Learning Options. Choose suitable Classroom / Online / Weekday/Weekend/Fast-Track/Corporate Training as per your Requirements.

Teaching Methodology

Our teaching methodology combines concept-based learning, live demonstrations, hands-on exercises, coding practice, real-time projects, assessments, and doubt-clearing sessions.  The curriculum covers everything ranging from the Fundamentals of the Foundation Models, their Advanced Applications, and helps learners acquire Practical Skills to Develop LLMs, RAG, AI Agents, APIs, Model Customization, Evaluation & Deployment.

Global Certifications Available for Foundation Models Course

S.No. Certification / Code Approx. Cost (INR) Certification Expiry
1 AWS Certified Machine Learning Engineer – Associate (MLA-C01) ₹12,000–₹15,000 3 years
2 Microsoft Azure AI Engineer Associate (AI-102) ₹12,000–₹15,000 1 year
3 Google Cloud Professional Machine Learning Engineer ₹16,000–₹20,000 2 years
4 NVIDIA Generative AI LLM Certification Varies by certification Varies
5 Databricks Certified Generative AI Engineer Associate ₹12,000–₹15,000 Typically 2 years

Who Can Join?

  • Fresh graduates and students interested in AI and machine learning.
  • Python developers and software engineers.
  • Data scientists and machine learning professionals.
  • AI/ML engineers looking to work with LLM-based applications.
  • Cloud and DevOps professionals moving into AI engineering.
  • Professionals interested in Generative AI, RAG, and AI agents.
  • Working professionals seeking to upgrade their AI skills.
  • Entrepreneurs and technology teams building AI-powered products.

Career Opportunities in Foundation Models Course

Experience Level Job Role Indicative Salary Range
Freshers / Junior (0–3 years) Foundation Models Engineer Trainee ₹3–5 LPA
Junior AI Engineer ₹4–6 LPA
LLM Application Developer ₹4–7 LPA
Generative AI Developer ₹4–7 LPA
Mid-Level (4–8 years) Foundation Models Engineer ₹7–12 LPA
Senior LLM Engineer ₹9–15 LPA
RAG Engineer ₹8–14 LPA
AI Agent Developer ₹8–15 LPA
Foundation Models Lead ₹12–18 LPA
Senior / Experienced (9+ years) Principal AI Engineer ₹15–25 LPA
Lead Foundation Models Engineer ₹18–30 LPA
Foundation Models Consultant ₹18–30 LPA
Head of AI / LLM Engineering ₹20–35+ LPA
Specialized Roles RAG & Retrieval Specialist ₹10–18 LPA
LLM Fine-Tuning Specialist ₹10–20 LPA
AI Evaluation Specialist ₹10–18 LPA
AI Solutions Architect ₹18–30 LPA

Who’s Hiring Advanced Foundation Models Professionals?

  • Microsoft
  • Google
  • Amazon
  • IBM
  • Accenture
  • Tata Consultancy Services
  • Infosys
  • Wipro

Can I Study for a Foundation Models Course in Other Locations?

Yes! Infibee Technologies offers Foundation Models Training across major cities, with classroom and online learning options.

With expert trainers, practical learning, certification support, and placement assistance, Infibee Technologies provides Foundation Models Course Training near me options for learners across India.

How to Register for the Foundation Models Course at Infibee Technologies?

Step 1: Register for a Free Demo

Visit the Infibee Technologies website and submit the inquiry form. Attend a free demo session to understand the curriculum, training methodology, projects, and learning approach.

Step 2: Select Your Training Mode

Choose classroom, online, weekend, weekday, fast-track, or corporate Foundation Models Course Training based on your schedule and learning requirements.

Step 3: Start Your Foundation Models Course Journey

Begin learning with expert instructors, work on real-time projects, develop practical AI skills, and prepare for Foundation Models certification and career opportunities.

Enroll Today: Unlock Your Foundation Models Course Potential!

Start your Foundation Models Course with Infibee Technologies and build practical AI skills through expert-led training, real-time projects, certification support, and career-focused learning.

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Upcoming Foundation Models Training Batches

[dateshortCodeCi day=' monday ' ]
Mon-FriWeekdays Regular
08:00 AM & 10:00 AM Batches(Class 1Hr - 2Hrs) / Per Session
[dateshortCodeCi day=' wednesday ' ]
Mon - FriWeekdays Regular
06:00 PM & 08:00 PM Batches(Class 1Hr - 2Hrs) / Per Session
[dateshortCodeCi day=' Friday ' ]
Sat-SunWeekend Batch
09:00 AM & 01:00 PM Batches(Class 2Hr - 4Hrs) / Per Session
Can't find a batch? Pick your own schedule

Foundation Models Training Course Syllabus

The Foundation Models Course provides practical training in large-scale AI models, covering model architectures, pre-training, fine-tuning, prompt engineering, embeddings, transformers, multimodal AI, and LLM application development. Learners gain hands-on experience building, customizing, and deploying foundation-model solutions for real-world AI applications.

  • What are Foundation Models?
  • Evolution of AI, ML, Deep Learning & Generative AI
  • Foundation Models vs Traditional ML Models
  • Large Language Models (LLMs), Vision Models & Multimodal Models
  • Pre-trained Models and General-Purpose AI
  • Real-world applications and use cases
  • Neural Networks fundamentals
  • Deep Learning architectures
  • Transformers overview
  • Attention mechanism
  • Self-Attention & Multi-Head Attention
  • Embeddings and vector representations
  • Tokenization and positional encoding
  • Encoder and Decoder architecture
  • Transformer blocks
  • Query, Key and Value
  • Cross-Attention vs Self-Attention
  • Causal and bidirectional attention
  • Transformer-based model families
  • Scaling Transformers
  • LLM architectures
  • Encoder-only, Decoder-only and Encoder-Decoder models
  • Multimodal Foundation Models
  • Vision-Language Models
  • Speech and Audio Foundation Models
  • Open-source vs proprietary models
  • Model capabilities and limitations
  • Dataset collection and preparation
  • Data cleaning and preprocessing
  • Data quality and deduplication
  • Tokenization pipelines
  • Pretraining objectives
  • Next-token prediction
  • Masked language modeling
  • Distributed training concepts
  • GPU/TPU-based training
  • Model scaling and compute requirements
  • Fine-tuning fundamentals
  • Supervised Fine-Tuning (SFT)
  • Instruction tuning
  • Parameter-Efficient Fine-Tuning (PEFT)
  • LoRA and QLoRA
  • Adapters
  • Transfer learning
  • Domain-specific model adaptation
  • Model checkpointing and evaluation
  • Prompt engineering fundamentals
  • Zero-shot and few-shot prompting
  • Role and instruction prompting
  • Chain-of-thought concepts
  • Structured output prompting
  • Prompt templates
  • Prompt optimization
  • System, user and assistant instructions
  • Prompt evaluation
  • RAG architecture
  • Document ingestion
  • Chunking strategies
  • Embeddings
  • Vector databases
  • Similarity search
  • Hybrid search
  • Reranking
  • Context retrieval
  • RAG evaluation and optimization
  • Working with model APIs
  • API authentication and integration
  • Text generation
  • Embeddings APIs
  • Vision and multimodal APIs
  • Hugging Face ecosystem
  • Using open-source foundation models
  • Model loading and inference
  • Model selection for different use cases
  • Foundation Model evaluation
  • Accuracy and task-based evaluation
  • Human evaluation
  • Automated evaluation
  • Hallucination detection
  • RAG evaluation
  • Prompt evaluation
  • Benchmarking
  • Model quality, latency and cost analysis
  • AI ethics
  • Bias and fairness
  • Privacy and data protection
  • Hallucination and misinformation
  • Toxicity and harmful content
  • Content safety
  • Explainability
  • Responsible model deployment
  • AI governance
  • Model quantization
  • Pruning concepts
  • Knowledge distillation
  • Inference optimization
  • GPU acceleration
  • Model serving
  • API-based deployment
  • Cloud deployment concepts
  • Monitoring and logging
  • Cost and latency optimization
  • Introduction to AI Agents
  • Agent architecture
  • Tool calling
  • Function calling
  • Planning and reasoning
  • Memory systems
  • Agent workflows
  • Multi-agent systems
  • Foundation Models for autonomous applications
  • Multimodal reasoning
  • Long-context models
  • Mixture of Experts (MoE)
  • Model routing
  • Synthetic data generation
  • Continual learning concepts
  • Model alignment
  • Reinforcement Learning from Human Feedback (RLHF)
  • Direct Preference Optimization (DPO)
  • Build an LLM-powered chatbot
  • Develop a RAG-based document assistant
  • Fine-tune a foundation model using LoRA/QLoRA
  • Build a multimodal AI application
  • Create an AI agent using tool calling
  • Evaluate and optimize a foundation-model application
  • Deploy a production-ready Generative AI application
Need customized curriculum?
Build Resume & Get PlacedPlacement Support With Resume Preparation & Interview Guidance

Hands On Foundation Models Training Projects

Enroll in our  SAP ABAP Course, where our course focuses on providing high-quality training with a strong foundation in core concepts and a practical approach. Through exposure to current industry use cases and scenarios, participants will enhance their skills and gain the ability to execute real-time projects using best practices.

Build an AI-Powered RAG Knowledge Assistant

Develop a Retrieval-Augmented Generation (RAG) application that connects a foundation model with custom documents. Implement document processing, chunking, embeddings, vector search, prompt engineering, and contextual response generation to create an intelligent knowledge assistant.

Fine-Tune a Foundation Model for Domain-Specific Tasks

Work with an open-source foundation model and adapt it for a specific business or industry use case. Learn dataset preparation, supervised fine-tuning, LoRA/QLoRA, model evaluation, inference optimization, and deployment of the customized model.

Develop an AI Agent Using Foundation Models

Build an intelligent AI agent capable of understanding user instructions, planning tasks, calling external tools, and generating responses using a foundation model. Implement function calling, memory, tool integration, agent workflows, and evaluation for real-world AI automation.

For Corporates

Educate your workforce with new skills to improve their performance and productivity.

Corporate Training
"Leading Companies We've Served"
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Our Instructor
Name
Mr. Kannan
Experience
6+ Years
Specialized in
ABAP Programming,SAP Modules,Customization and Enhancement,Reporting and Analytics , and more
More Details
Mr. Kannan provides practical, industry-focused training with hands-on projects, real-world use cases, model development, customization, evaluation, and deployment. His training approach helps learners build practical skills for working with modern AI and foundation model technologies.

Foundation Models Course Training Objectives

The Foundation Models Training is designed to provide learners with practical knowledge of modern AI foundation models, LLMs, transformer architectures, prompt engineering, RAG, fine-tuning, AI agents, and model deployment. Participants will gain hands-on experience building, customizing, evaluating, and deploying foundation-model applications using real-world projects and industry-relevant tools.

You will learn Foundation Models, LLMs, Transformer Architecture, Prompt Engineering, RAG, Fine-Tuning, AI Agents, Model Evaluation, and deployment through practical projects.

Yes. The training covers AI and Deep Learning fundamentals before moving into advanced topics such as LLMs, RAG, fine-tuning, and AI agents.

The training includes projects such as an AI-powered RAG knowledge assistant, domain-specific foundation model fine-tuning, and an AI agent using foundation models.

You can develop practical skills in Generative AI, LLM application development, prompt engineering, RAG implementation, model customization, AI agents, evaluation, and deployment.

Foundation Models are increasingly used to build Generative AI applications across areas such as content generation, intelligent search, automation, customer support, document analysis, and AI-powered business solutions.

Job Assistance Program

Our Job Assistance Programme offers you special guidance through the course curriculum and helps in your interview preparation.

Specialised Curriculum
Get on-field knowledge and skills from our expert instructors.
Assessment
Upgrade your on-field skills with our assessments and track your progress in real time.
Hands-on Project
Our hands-on project help you gain experience in real-time working.
Certification Guidance
A global certificate always helps you stand out from the crowd.
Portfolio Building
Experts guide you to maximise your profile with current industry trends that employers expect.
Placment Cell
We promote your abilities and showcase your portfolio to employers.

Foundation Models Training Career Opportunity

Infibee Technologies provides placement guidance to help Foundation Models Training learners prepare for opportunities in AI and Generative AI roles. The placement support includes resume building, mock interviews, technical interview preparation, job-oriented projects, and career guidance. Learners can explore opportunities across AI, Machine Learning, Generative AI, LLM Engineering, and AI application development roles in technology-driven organizations.

Annual Pay Scale
Employers
Annual Salary
Hiring Companies

Placement Guidance & Interview Preparation

Infibee’s placement guidance navigates you to your desired role in top organisations, ensuring you stand out and excel in every opportunity.

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Foundation Models Training FAQ's

Infibee Foundation Models Training offers wide range of services that suits for both fresher and experienced persons via both offline and online at your suitable time slots.

You need not worry about having missed a class. Our dedicated course coordinator will help them with anything and everything related to administration. The coordinator will arrange a session for the student with trainers in place of the missed one.

Yes, of course. You can contact our team at Infibee Technologies, and we will schedule a free demo or a conference call with our mentor for you.

We provide classroom, online, and self-based study material and recorded sessions for students based on their individual preferences.

Yes, all our trainers are industry professionals with extensive experience in their respective domains. They bring hands-on practical and real-world knowledge to the training sessions.

Yes, participants typically receive access to course materials, including recorded sessions, assignments, and additional resources, even after the training concludes.

We provide placement assistance to students, including resume building, interview preparation, and job placement support for a wide range of software courses.

Yes, we offer customisation of the syllabus for both individual candidates and corporate also.

Yes, we offer corporate training solutions. Companies can contact us for customised programmes tailored to their team’s needs.

Participants need a stable internet connection and a device (computer, laptop, or tablet) with the necessary software installed. Detailed technical requirements are provided upon enrollment.

In most cases, such requests can be accommodated. Participants can reach out to our support team to discuss their preferences and explore available options.

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