-Recruiters prefer to hire Inventateq Students - Join Inventateq Now
6840+ Job Posting Available
-Recruiters prefer to hire Inventateq Students - Join Inventateq Now
Placements in Artificial Intelligence: 1,342
Artificial Intelligence Course in Australia with Certification
Learn agentic AI, generative AI, and practical workflow design with Python, LangChain, LangGraph, AutoGen, CrewAI, OpenAI API, Hugging Face, Pinecone, Docker, and FastAPI. This course in Australia is built around real agent design, tool calling, memory, guardrails, deployment, and hands-on projects.
4.7/5 from 1,432 reviews
Learn how agents move from NLP and LLMs to chatbots and autonomous workflows
Build a Research Agent, Data Analyst Agent, and multi-agent systems
Work with LangChain, LangGraph, AutoGen, CrewAI, Pinecone, and OpenAI API
Practice structured prompting, function calling, memory, and guardrails
Get project-based training, certification support, and placement guidance
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
Get Job with our Guaranteed Placement Support Program
Placement Assistance for Artificial Intelligence Careers in Australia
Learning agentic AI is only part of the job. You also need a clear way to present your skills, explain your projects, and handle interviews for roles like AI Analyst, AI Developer, and Analytics Consultant in Australia.
Our Signature Career Support:
Resume support focused on agentic AI, generative AI, and deployment work
Portfolio guidance for Research Agent and Data Analyst Agent projects
Mock interviews on prompt design, tool use, memory, and evaluation
Career mentoring for AI, automation, and analytics-oriented roles
Support with job preparation for entry-level to senior AI track roles
Artificial Intelligence Salary Insights in Australia
AI and analytics roles in Australia are hiring across product teams, consulting, operations, marketing, and data-led businesses. Pay usually grows as you move from building single workflows to designing reliable agent systems and leading deployment.
Average Salary by Experience
Artificial Intelligence Salary Insights in Australia
AI and analytics roles in Australia are hiring across product teams, consulting, operations, marketing, and data-led businesses. Pay usually grows as you move from building single workflows to designing reliable agent systems and leading deployment.
Average Salary by Experience
Why Students Choose Our Artificial Intelligence Course in Australia?
4.7/5 Google Rating | 1,432+ Verified Reviews
4.7 / 5
By Google Reviews
Jd
4.7 / 5
By Justdial
S
4.7 / 5
By Sulekha Courses
4.7 / 5
By Course Suggest
Success Result:Our students are competing at global levels. Watch their placement journey here.
0.0
GOOGLE RATING
0k+
REVIEWS
4.7/5 · 1,432+ Verified Reviews
About Inventateq Artificial Intelligence Training Institute in Australia
Inventateq teaches artificial intelligence in a practical sequence: agent basics, prompt engineering, tools, memory, planning, multi-agent design, safety controls, evaluation, and deployment. The course follows the actual workflow used in agentic AI projects, so learners can connect concepts to buildable systems instead of only reading theory.
We stand apart through our commitment to:
Build agent workflows using ReAct, function calling, and structured outputs
Practice with LangChain, LangGraph, AutoGen, CrewAI, and related frameworks
Learn memory, guardrails, evaluation, tracing, and deployment step by step
Get mentor support while working on live-style projects and assignments
Choose flexible training options with placement-focused guidance
Live Online
Remote Learning
AI Online Live Classes
Live online training from Australia follows the same practical format with real-time mentoring, doubt clearing, and project walkthroughs. Learners can attend from anywhere in Australia and still complete hands-on exercises in agentic AI, generative AI, and deployment workflows.
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
Artificial Intelligence Training Program
Beginners in AI
Good for learners who want to start with agents, LLMs, and generative AI in a structured way.
Software and data learners
Useful for Python, analytics, and automation learners who want to add agentic AI skills.
Working professionals
Fits professionals moving into AI, automation, analytics, or workflow design roles.
Students and fresh graduates
Helps those preparing for entry-level AI, data, or business analyst roles.
Career switchers
Suitable for people shifting from non-AI backgrounds into practical AI project work.
Quick Highlights of Inventateq Artificial Intelligence Course
Course Duration
Duration: Structured across multiple weeks and project blocks based on the syllabus.
Mode: Available in offline classroom and live online formats.
Training style: Theory, practical sessions, assignments, and project work.
Pace: Built to move from fundamentals to deployment in a clear sequence.
No prior agentic AI experience is required to start.
Artificial Intelligence Course Curriculum in Australia
1. Introduction to Agentic AI (Week 1)
W1
•Understand the path from NLP to LLMs, chatbots, and agents
•Learn what agency means: autonomy, goals, and tool use
•Study the LLM as the brain with perception and action layers
•Review ReAct as the core reason-and-act pattern
•Discuss common risks such as hallucinations, latency, and cost control
2. Prompt Engineering for Agents (Week 2)
W2
•Use system prompts for role-based behavior
•Practice Chain-of-Thought and Tree-of-Thought prompting
•Work with structured output using JSON mode and function calling
•Compare XML tagging with JSON-based instructions
•Build a Research Agent that uses structured function calls to scrape a website
3. Tools and Function Calling (Week 3)
W3
•Define tools as functions with schemas
•Set up tool selection strategies for agent workflows
•Use parallel function calling where tasks can run together
•Handle tool errors without breaking the workflow
•Connect agent logic to external actions and data sources
4. Memory Architectures (Week 4)
W4
•Differentiate short-term context memory from long-term vector storage
•Understand semantic memory through RAG for agents
•Store episodic memory for past actions and outcomes
•Manage state across loops and long-running workflows
•Use memory to make agent behavior more consistent
5. Introduction to Agentic Frameworks (Week 5)
W5
•Review LangChain, LangGraph, AutoGen, and CrewAI
•Compare chains, agents, and graphs as abstraction levels
•Understand the pros and cons of each framework
•Port a ReAct loop into LangGraph
•Choose the right framework based on workflow needs
6. Planning and Complex Workflows (Week 6)
W6
•Learn plan-and-execute architecture
•Use self-critique and iteration through Reflexion
•Study LLMCompiler for optimized parallel execution
•Handle dynamic workflows compared with DAG-based flows
•Design multi-step strategies for more reliable agents
7. Multi-Agent Systems (Week 7)
W7
•Understand why specialization matters in multi-agent systems
•Study hierarchical, peer-to-peer, and sequential handoff models
•Design communication protocols between agents
•Use AutoGen for conversable agents
•Use CrewAI for role-based collaboration
8. Human-in-the-Loop and Guardrails (Week 8)
W8
•Add breakpoints and interrupts into autonomous flows
•Set approval workflows before destructive actions
•Apply input and output guardrails for safer responses
•Manage budget limits for token spend and loop count
•Keep autonomous systems controlled and reviewable
9. Evaluation and Observability (Week 9)
W9
•Learn why agent evaluation is difficult because outputs vary
•Compare trajectory evaluation with final outcome evaluation
•Use LangSmith and Phoenix Arize for observability
•Trace latency, token usage, and failure points in graphs
•Debug weak links in agent behavior more effectively
10. Advanced Architectures (Week 10)
W10
•Study BabyAGI and AutoGPT-style autonomous patterns
•Use code-as-action with Python in a sandbox
•Explore multimodal agents that handle vision and audio
•Review web navigation agents using Playwright and Selenium
•Build a Data Analyst Agent that reads CSV data and creates visualizations
11. Production Deployment (Week 11)
W11
•Learn streaming versus blocking responses
•Work with asynchronous agents using AsyncIO
•Use Docker to containerize agent sandboxes
•Scale agents horizontally for more load
•Deploy a multi-agent service with FastAPI on cloud platforms like Render or AWS
12. Generative AI Fundamentals (Week 12)
W12
•Get introduced to generative AI concepts
•Work with the OpenAI API for basic model interactions
•Use LangChain for application building
•Apply Hugging Face API in generative AI workflows
13. LangChain Memory and Applications (Week 13)
W13
•Strengthen memory concepts inside LangChain
•Connect memory with practical application flow
•Practice building small generative AI applications
•Understand how memory affects response quality over time
14. Vector Databases and Pinecone (Week 14)
W14
•Learn vector databases for AI and LLM workflows
•Use Pinecone for storing and retrieving embeddings
•Apply vector search to support retrieval-based systems
•Understand the role of vector storage in chatbot design
15. Open Source LLMs and Medical Chatbot Project (Week 15)
W15
•Explore open-source LLM models
•Build an end-to-end medical chatbot
•Connect project logic with deployment steps
•Complete final project work and buffer time for revision
Rated 4.9/5
Why Inventateq for Artificial Intelligence Training in Australia?
Inventateq keeps the focus on practical AI work that can be demonstrated in interviews. Learners move through agent design, prompt engineering, framework selection, evaluation, and deployment with support at every step.
Why Students Trust Inventateq Australia
Updated curriculum based on current agentic AI workflows
Trainers who explain concepts through real project steps
Supportive learning environment for beginners and career switchers
Practical assignments that connect to interview-ready outcomes
Placement-oriented approach with resume and mock interview help
Build Real Artificial Intelligence Skills for Career Growth
This course gives learners practical exposure to how AI systems are designed, controlled, evaluated, and deployed. You work on structured tasks that turn course content into portfolio-ready proof of skill.
Build Agentic AI Projects
Create project work around research agents, data analyst agents, and multi-agent systems. The curriculum is designed so you can show how tools, memory, and planning work together.
Use Real Frameworks
Work with LangChain, LangGraph, AutoGen, and CrewAI instead of only studying theory. This gives you direct experience with the tools used in modern agentic AI workflows.
Practice Safe AI Design
Learn how to add guardrails, approval steps, budgets, and human review. That matters when the system can call tools, write code, or trigger actions.
Understand Evaluation
Use tracing and evaluation methods to check where an agent fails and why. You learn to measure behavior, not just generate outputs.
Deploy Working Services
Move from a local build to cloud-ready deployment using Docker, FastAPI, AsyncIO, and platform-based hosting. This helps you talk about real delivery, not just demos.
Prepare for Interviews
Turn your training into a clear story for recruiters and hiring managers. The course helps you explain design decisions, workflows, and implementation trade-offs.
Certification for Artificial Intelligence Training
The certification validates that you have trained on agentic AI, generative AI, memory design, tool calling, guardrails, evaluation, and deployment workflows. It helps show employers that you completed structured practical learning, not just self-study.
LangChain, LangGraph, AutoGen, and CrewAI workflow knowledge
Earn this certificate upon successful completion of our training program.
OpenAI API, Hugging Face, and Pinecone application skills
Validate your skills with recognized industry credentials.
Tool calling, memory, and structured output design
Earn this certificate upon successful completion of our training program.
Docker, FastAPI, and cloud deployment exposure
Validate your skills with recognized industry credentials.
Detailed Insights: Artificial Intelligence Training in Australia
Students Frequently Asked Questions
Is this artificial intelligence course suitable for beginners?
Yes. The course starts with the basics of agents, LLMs, prompts, and workflows before moving into advanced topics. Beginners can follow the structure step by step and build confidence through practical exercises.
Will I work on hands-on projects in this course?
Yes. The syllabus includes a Research Agent, a Data Analyst Agent, generative AI projects, and a medical chatbot project. These projects are important because they help you apply what you learn with real tools and workflows.
Does Inventateq provide placement assistance for AI roles?
Yes. The placement support includes resume help, interview practice, portfolio guidance, and career mentoring. The focus is on helping you present your project work clearly for relevant AI and analytics roles.
Can non-technical students join this artificial intelligence course?
Yes, if they are ready to learn step by step. The training covers concepts from the ground up and explains how tools, memory, and workflows fit together. A non-technical learner can start here and build practical understanding through guided work.
Is live online training available for students in Australia?
Yes. The course is available in a live online format, so learners in Australia can attend from home or work. The sessions still include mentor interaction, practical exercises, and project support.
How long is the artificial intelligence training program?
The curriculum is spread across multiple weeks plus additional generative AI and deployment modules. That structure gives enough time to learn the concepts, practice them, and complete projects without rushing through the material.
Explore more
Other Training Locations
Browse the same course in nearby cities and training hubs.
Launch your fastest career with Inventateq! Our program equips you with in-demand skills to unlock insights from big data and land your dream job. Join us and become a career hero!