5 Star Google Rating | 1000+ Learners

AI Engineer

From Fundamentals to Industry-Ready AI Skills, Gain the Knowledge, Experience and Confidence to Succeed as an AI Engineer.

Reserve your seat

Highlights of the Course

20+ Years of Experience in IT

1000 +

Individuals Trained across the Globe

70 %

Alumni Career Transitions

50 +

Companies Deployed

Modules that will be covered

Module 1: AI Foundations ⌃

What is Artificial Intelligence(AI)?
AI vs ML vs DL vs Gen AI vs Agentic AI
AI Use Cases
AI Engineer Role

Module 2: Machine Learning Foundations ⌃

What is Machine Learning(ML)?
Types Of ML
Regression(Supervised)
Classification(Supervised)
Clustering(UnSupervised)
Reinforcement Learning
Train/Test Split
Overfitting & Underfitting
Evaluation Metrics

Module 3: Deep Learning & Transformer ⌃

What is Deep Learning(DL)?
Neural Networks
Activation Functions
Transformers
Encoder vs Decoder
Attention Mechanism
Tokenization

Module 4: LLMs & Generative AI ⌃

Gen AI Basics
Gen AI Types
Gen AI Limitation
LLM Basics
Model Types
Tokens & Context
Hallucination
LLM APIs

Module 5: Prompt Engineering ⌃

Zero-Shot
Few-Shot
System Prompts
Prompt Templates
Structured Prompting
Guardrails

Module 6: Structured Output & Applications ⌃

Classification
Summarization
Entity Extraction
JSON Generation
Schema Validation
Document Processing

Module 7: Embeddings & Semantic Search ⌃

Embeddings
Similarity Search
Chunking
Metadata
Embedding Models
Vector DBs

Module 6: RAG (RetrievalAugmented Generation) ⌃

RAG Basics
Indexing Pipeline
Query Pipeline
Vector DB Usage
Re-ranking
Hybrid Search
RAG Evaluation

Module 9: Frameworks ⌃

LangChain
LlamaIndex
LangGraph

Module 10(a): Agentic AI ⌃

Agentic AI Basics
Agentic AI Capability
Agent Limitation

Module 10(b):Components of AI Agents⌃

Agents
Tools
Memory
Planning
Function Calling
API Integration
DB Querying
ReAct
Plan & Execute
Multi-Agent

Module 11: AI Safety & Guardrails ⌃

Prompt Injection
Hallucination Control
PII Protection
Access Control
Human-in-loop

Module 12: Evaluation and Observability ⌃

Prompt Evaluation
RAG Evaluation
Agent Evaluation
LLM-as-Judge
Regression Testing
Scorecards
Tracing
Pompt Logs
Evaluation Pipelines

Module 13: Capstone Project ⌃

RAG System
Agent System
Integration
Deployment

Schedule a Call

Download Curriculum

Certify your Learning

Complete the course with assignments, project and request your course completion certificate

Tools you will learn

Our Students work at

1000+

Individuals Career Transformation

Course Fees

For Students accessing the course from India

Course Fee: ₹30,000 50% OFF

₹15,000

*Limited period offer

We offer the flexibility to pay the course fee in two easy installments.

For Students accessing the course from outside India

Course Fee: $400 50% OFF

$200

*Limited period offer

We offer the flexibility to pay the course fee in two easy installments.

Enroll Now

Got Questions?

Check Out Our FAQs!

Who should enroll in this AI Engineer Program? +

This program is designed for beginners, students, freshers, software developers, data professionals, IT professionals, and anyone interested in building a career in Artificial Intelligence and Generative AI.

Is this course suitable for beginners? +

Yes. The course starts with AI fundamentals and gradually progresses to advanced topics such as LLMs, RAG, Agentic AI, and AI deployment. No prior AI experience is required.

What topics are covered in the AI Engineer course? +

The curriculum includes AI Fundamentals, Machine Learning, Deep Learning, Transformers, LLMs, Prompt Engineering, Embeddings, Vector Databases, RAG, LangChain, LlamaIndex, LangGraph, Agentic AI, AI Safety, Evaluation, and Capstone Projects.

Will I learn Generative AI and Large Language Models (LLMs)? +

Yes. You will learn GenAI concepts, LLM fundamentals, prompt engineering, structured outputs, embeddings, RAG, and real-world AI applications.

Will I build AI Agents during the course? +

Yes. You will learn Agentic AI concepts, tool usage, memory management, planning, function calling, API integration, ReAct, and multi-agent systems

Will I become industry-ready after completing the course? +

Yes. The curriculum is designed based on real-world industry requirements, including hands-on projects, case studies, and interview-oriented training.

What is the expected time commitment for this program? +

The program requires about 1 hour a day for live sessions, along with 1–2 hours of self-practice, helping you steadily build strong practical skills.

Are class recordings available? +

Yes. All live sessions are recorded and shared so you can revise anytime.

Will I get a certificate after course completion? +

Yes, You will receive a Blismos Academy Course Completion Certificate upon successfully clearing the final exam with a minimum score of 70% and completing the required project. The certificate can be added to your resume and LinkedIn profile.

How do I enroll in the course? +

You can enroll by checking our course brochure for complete details and contact information, or by clicking the “Enroll Now” button on the course page. You may also reach out to Blismos Academy via WhatsApp or through our website for personalized guidance.