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6840+ Job Posting Available
Placements in Artificial Intelligence: 1,342

Artificial Intelligence Course in Singapore with Certification

Learn Artificial Intelligence by building real applications using Generative AI, Agentic AI, Large Language Models (LLMs), LangChain, Vector Databases, and Multi-Agent Systems. This course is designed for students, graduates, and working professionals who want practical AI skills. You will learn through live classes, assignments, and projects.

4.7/5 from 1,432 reviews
Master Generative AI, Agentic AI, LLMs, and Multi-Agent Systems
Build 10+ Real-World AI Projects and Capstone Applications
Learn Python, LangChain, LangGraph, CrewAI, AutoGen, and Vector Databases
Live Instructor-Led Training with Practical Assignments
Certification and Career Guidance for AI Roles
Job Interview
Guarantee Program

14,200+ (Placed)

Freshers to IT

7,100+ (Placed)

Non-IT to Tech

5,800+ (Placed)

Career Gap Fillers

6,400+ (Placed)

Upskilling Success

24,999

In 60 Days + Placement

Course Fee:₹24,999
Duration:60 Days
Mode:Classroom & Online

Free Session

1 Hour Training Session

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Placement Record

How We Have Placed 10,000+ Students ?

Microsoft logo
Google logo
Deloitte logo
Infosys logo
Zomato logo
Tech Mahindra logo
9 LPA
Sanjeev Sukla

Sanjeev Sukla

9 LPAAI Engineer

Tech Mahindra
9 LPA
Jagan Roy

Jagan Roy

9 LPAAI Engineer

goibibo
12 LPA
Sharmila

Sharmila

12 LPAData Engineer

TCS
16 LPA
Rahul Rai

Rahul Rai

16 LPAData Engineer

atlys
4.3 LPA
Vanaya

Vanaya

4.3 LPAAI Engineer

zensar technologies
8.45 LPA
Rohini

Rohini

8.45 LPAComputer Vision Engineer

nvidia
6.3 LPA
Anamika

Anamika

6.3 LPAAI Engineer

Fractal
8.2 LPA
Andro

Andro

8.2 LPAAI Engineer

Fractal

Placement Assistance Career Support for Artificial Intelligence Professionals

Learning Artificial Intelligence is only one part of building a career. Students also need guidance on projects, interviews, and presenting their skills to employers. Our placement support is designed to help students become confident and interview-ready for Artificial Intelligence roles.

Our Signature Career Support:

  • Resume and portfolio preparation for AI roles
  • GitHub and LinkedIn profile guidance
  • Mock technical and HR interviews
  • Interview preparation and coding practice sessions
  • Career mentoring for students and working professionals

AI Salary Insights

Artificial Intelligence professionals are in demand across technology, finance, healthcare, retail, and consulting industries. Salaries generally increase with practical experience and project exposure.

Artificial Intelligence Average Salary by Experience

Why Students Choose Our Artificial Intelligence Course in Singapore?

4.7/5 Google Rating | 1,432+ Verified Reviews

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4.7 / 5

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Success Result: Our students are competing at global levels. Watch their placement journey here.

Bigdata Hadoop Placement Success Stories

Data Engineering @ Accenture - 12 LPA

Student Honest Reviews for Tally Course

Junior Accountant @ Fortis - 8 LPA

What Students Say About Our SQL Course

SQL Developer @ Wipro - 10 LPA

Genuine Student Feedback on Our SalesForce Course

Salesforce Administrator @ Deloitte - 15 LPA

How Our RPA Course Helped Students Build Their Careers

RPA Developer @ IBM - 20 LPA

Learning to Getting Hired – Tableau Student Reviews

Tableau Developer @ Genpact - 20 LPA

Real Student Reviews for HR Course

Talent Acquisition Executive @ Tech Mahindra - 12 LPA

Authentic Student Experiences on our Anjular Js Course

Angular Developer @ Capgemini - 15 LPA

Honest Student Reviews for Data Science Course

Data Analyst @ Amazon - 25 LPA

What Students Say About the Java Course

Java Developer @ Oracle - 25 LPA

Student Video Review for CATIA Course

CATIA Design Engineer @ TATA Motors - 20 LPA

Authentic Student Reviews for AWS Course

AWS Solutions Architect @ Accenture - 25 LPA

Honest Opinions from Python Course Students

Python Developer @ Mphasis - 15 LPA

Real Student Reviews for Software Testing

QA Engineer @ HCLTech - 15 LPA

Devops Course Reviews & Placement Experiences

Cloud DevOps Engineer @ LTIMindtree - 18 LPA

Digital Marketing Course Success Stories | Student Reviews

Digital Marketer @ Google - 20 LPA

Inventateq Classroom Tour

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Students Who Took the First Step

Genuine Reviews @ Inventateq - 25 LPA - 50LPA

Bigdata Hadoop Placement Success Stories

Data Engineering @ Accenture - 12 LPA

Student Honest Reviews for Tally Course

Junior Accountant @ Fortis - 8 LPA

What Students Say About Our SQL Course

SQL Developer @ Wipro - 10 LPA

Genuine Student Feedback on Our SalesForce Course

Salesforce Administrator @ Deloitte - 15 LPA

How Our RPA Course Helped Students Build Their Careers

RPA Developer @ IBM - 20 LPA

Learning to Getting Hired – Tableau Student Reviews

Tableau Developer @ Genpact - 20 LPA

Real Student Reviews for HR Course

Talent Acquisition Executive @ Tech Mahindra - 12 LPA

Authentic Student Experiences on our Anjular Js Course

Angular Developer @ Capgemini - 15 LPA

Honest Student Reviews for Data Science Course

Data Analyst @ Amazon - 25 LPA

What Students Say About the Java Course

Java Developer @ Oracle - 25 LPA

Student Video Review for CATIA Course

CATIA Design Engineer @ TATA Motors - 20 LPA

Authentic Student Reviews for AWS Course

AWS Solutions Architect @ Accenture - 25 LPA

Honest Opinions from Python Course Students

Python Developer @ Mphasis - 15 LPA

Real Student Reviews for Software Testing

QA Engineer @ HCLTech - 15 LPA

Devops Course Reviews & Placement Experiences

Cloud DevOps Engineer @ LTIMindtree - 18 LPA

Digital Marketing Course Success Stories | Student Reviews

Digital Marketer @ Google - 20 LPA

Inventateq Classroom Tour

BTM Layout @ Inventateq - -

Students Who Took the First Step

Genuine Reviews @ Inventateq - 25 LPA - 50LPA

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REVIEWS

4.7/5 · 1,432+ Verified Reviews

About Inventateq AI Training Institute in Singapore

Our Artificial Intelligence Course in Singapore focuses on practical learning and real application development. Students learn by building projects, writing code, and working with modern AI tools used by companies today. The course is designed to help learners understand concepts clearly, gain hands-on experience, and build confidence in creating AI solutions.

We stand apart through our commitment to:

  • Learn Generative AI, Agentic AI, LLMs, and Multi-Agent Systems through practical projects
  • Build portfolio-ready AI applications using Python, LangChain, Vector Databases, and cloud deployment
  • Get personalised guidance from experienced trainers with hands-on assignments and project reviews
  • Placement support until you are interview-ready
  • Flexible schedules for students and working professionals
 classes
Live Online
Remote Learning

AI Online Live Classes

Attend live Artificial Intelligence classes from anywhere with instructor-led online training. Learn through interactive sessions, coding exercises, and practical assignments while receiving the same curriculum, project guidance, and career support as classroom learners.

Live interactive classes with practical coding demonstrations
Recorded sessions available for revision and practice
Weekly assignments with mentor feedback and guidance
Real projects covering Generative AI, LLMs, and Agentic AI
Online career guidance and interview preparation support

Generative AI Training Program

Fresh Graduates

B.E, B.Tech, B.Sc, BCA, MCA, Any Degree.

Working Professionals

Upgrading to AI & ML roles.

Non-IT Professionals

Mechanical, Civil, Commerce, Arts backgrounds.

Career Switchers

Entering AI from other domains or year-gap candidates.

No Coding Background?

We start from foundational concepts and build step-by-step.

Quick Highlights of Inventateq AI Course

Course Duration

  • Mode: Online Live

  • Batches: Weekday & Weekend

  • Projects: Real-world AI project (NLP or Vision)

  • Eligibility: Any degree / diploma / non-IT / year-gap candidates welcome

No prior AI or Machine Learning experience is required.

Agentic AI Curriculum

1. Introduction to Agentic AI (Week 1)

W1
  • The evolution: NLP → LLMs → Chatbots → Agents
  • Defining Agency: Autonomy, goal-directed behavior, tool use
  • Core components: LLM as the brain, perception, action
  • Understanding the ReAct pattern (Reason + Act)
  • Risks and limitations: hallucinations, cost control, latency

2. Prompt Engineering for Agents (Week 2)

W2
  • System prompts for role-playing and agent stability
  • Chain-of-Thought (CoT) and Tree-of-Thoughts (ToT)
  • Structured output: JSON mode and function calling / tool use
  • XML tagging vs JSON mode for agent instructions
  • Hands-on: Research Agent with structured function calling to scrape a website

3. Tools & Function Calling (Week 3)

W3
  • Defining tools (functions) with schemas
  • Parallel function calling
  • Tool selection strategies
  • Handling tool errors gracefully

4. Memory Architectures (Week 4)

W4
  • Short-term (context window) vs long-term (vector DB) memory
  • Semantic memory: RAG for agents
  • Episodic memory: storing past actions and outcomes
  • State management in agent loops

5. Introduction to Agentic Frameworks (Week 5)

W5
  • Overview: LangChain, LangGraph, AutoGen, CrewAI
  • Pros and cons of agent frameworks
  • Abstraction levels: Chains → Agents → Graphs
  • Hands-on: porting the Module 1 ReAct loop to LangGraph

6. Planning & Complex Workflows (Week 6)

W6
  • Plan-and-Execute architectures
  • Reflexion: self-critique and iteration
  • LLMCompiler: optimized parallel execution
  • Dynamic workflows vs Directed Acyclic Graphs (DAGs)

7. Multi-Agent Systems (Week 7)

W7
  • Why multi-agent: specialization vs generalization
  • Architectures: hierarchical, peer-to-peer, sequential handoffs
  • Communication protocols between agents
  • AutoGen (conversable agents) and CrewAI (role-based agents)

8. Human-in-the-Loop & Guardrails (Week 8)

W8
  • Breakpoints and interrupts in agent workflows
  • Approval workflows before destructive actions
  • Input/output guardrails (NeMo Guardrails, Guardrails AI)
  • Budget management: token spend and loop iteration limits

9. Evaluation & Observability (Week 9)

W9
  • The challenge of evaluating non-deterministic agents
  • Trajectory evaluation vs final outcome evaluation
  • Frameworks: LangSmith, Phoenix (Arize)
  • Tracing latency, token usage, and failure points in a graph

10. Advanced Architectures (Week 10)

W10
  • Autonomous agents: BabyAGI / AutoGPT architecture
  • Code-as-action: agents writing and executing Python in a sandbox
  • Multimodal agents (vision, audio)
  • Web navigation agents (Playwright / Selenium)
  • Hands-on: Data Analyst Agent — CSV in, Python REPL, visualizations out

11. Production Deployment (Week 11)

W11
  • Streaming vs blocking responses
  • Asynchronous agents (AsyncIO)
  • Containerization (Docker) for agent sandboxes
  • Scaling agents horizontally and API design for agentic endpoints
  • Hands-on: deploy a multi-agent service (Render/AWS) with FastAPI

Rated 4.9/5

Why Inventateq for Artificial Intelligence Training in Singapore ?

At Inventateq, Artificial Intelligence is not taught as an academic subject. We train you to think, build, evaluate, and deploy AI models the way companies actually do.

Why Students Trust Inventateq Singapore

  • Central BTM Layout location with easy access
  • Trainers with real industry exposure
  • Updated curriculum aligned with AI hiring trends
  • Supportive learning environment
  • Proven student success stories

Build Real AI Skills That Open New Career Opportunities

Our learners gain practical Artificial Intelligence experience by building projects, understanding modern AI technologies, and applying their knowledge to real-world problems. The focus is on helping students become confident in designing, developing, and deploying AI applications.

Build Real AI Projects

Work on practical projects using Generative AI, Large Language Models, Agentic AI, and multi-agent systems to gain hands-on development experience.

Create a Strong Project Portfolio

Build portfolio-ready applications that demonstrate your ability to design, develop, and deploy Artificial Intelligence solutions.

Gain Confidence in AI Development

Learn step by step through coding exercises, assignments, and guided projects that help you become comfortable with modern AI technologies.

Learn Industry-Relevant AI Tools

Gain practical experience with Python, LangChain, Vector Databases, FastAPI, Docker, and cloud deployment technologies used in AI development.

Develop Problem-Solving Skills

Learn how to break down complex problems and build intelligent applications that can automate tasks and process information efficiently.

Prepare for Future AI Opportunities

Complete the course with practical skills, projects, and certification that help you confidently explore opportunities in the growing field of Artificial Intelligence.

Certification for AI Training

Earn industry-recognised credentials that validate your AI skills in Singapore. Inventateq prepares you for certification paths aligned with Python, R, SQL, Microsoft Excel and current hiring expectations for AI professionals.

Inventateq Course Completion Certificate

Earn this certificate upon successful completion of our training program.

Industry Certification

Validate your skills with recognized industry credentials.

Detailed Insights: AI Training in Singapore

Students Frequently Asked Questions

Is this AI course suitable for beginners?

Yes. We start from Machine Learning fundamentals and gradually move to advanced AI topics.

Do you provide hands-on projects?

Yes. Every student completes an AI project (NLP or Vision).

Is placement assistance provided?

Yes. Resume preparation, mock interviews, and job referrals are included.

Can non-IT students join this course?

Absolutely. Many of our students come from non-IT backgrounds.

Is this course available online?

Yes. Classroom and live online options are available.

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