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Placements in Artificial Intelligence: 1,342
Artificial Intelligence Course in San Jose with Certification
Learn agentic AI and generative AI in San Jose with hands-on practice in OpenAI API, LangChain, Hugging Face, Pinecone, LangGraph, AutoGen, CrewAI, FastAPI, Docker, and Playwright/Selenium. Build working agents, memory-based workflows, and deployment-ready projects from the syllabus in this AI training in San Jose.
4.7/5 from 1,432 reviews
Hands-on agentic AI training in San Jose with real tools and structured workflows
Learn OpenAI API, LangChain, LangGraph, AutoGen, CrewAI, and Pinecone
Build a research agent, data analyst agent, and multi-agent service
Covers prompts, tool use, memory, guardrails, evals, and deployment
Certification, resume support, and placement guidance built into the program
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 Professionals in San Jose
Learning agentic AI is only useful when you can apply it in a real job. Inventateq focuses on practical preparation for AI, data, and automation roles by helping learners present their projects clearly and interview with confidence.
Our Signature Career Support:
Resume support built around your AI projects and tools
Portfolio guidance for agent workflows, RAG, and deployment work
Mock interviews for AI, data, and analytics job roles
Mentor feedback on communication, explanations, and problem solving
Career guidance for roles like AI Analyst, ML Engineer, and Automation Developer
Artificial Intelligence Salary Insights in San Jose
San Jose hires for AI, analytics, automation, and product roles across tech companies, startups, consulting teams, and data-driven businesses. Pay grows with experience as you move from building guided workflows to owning deployment, evaluation, and architecture.
Artificial Intelligence Average Salary by Experience
Artificial Intelligence Salary Insights in San Jose
San Jose hires for AI, analytics, automation, and product roles across tech companies, startups, consulting teams, and data-driven businesses. Pay grows with experience as you move from building guided workflows to owning deployment, evaluation, and architecture.
Artificial Intelligence Average Salary by Experience
Why Students Choose Our Artificial Intelligence Course in San Jose?
4.7/5 Google Rating | 1,432+ Verified Reviews
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Success Result:Our students are competing at global levels. Watch their placement journey here.
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About Inventateq Artificial Intelligence Training Institute in San Jose
Inventateq teaches artificial intelligence through the actual workflow used in modern AI systems: prompting, tool use, memory, planning, multi-agent design, guardrails, evaluation, and deployment. The classes stay practical and project-based, using the syllabus content from OpenAI API and LangChain to LangGraph, AutoGen, CrewAI, Pinecone, FastAPI, Docker, and cloud deployment.
We stand apart through our commitment to:
Learn from structured lessons that move from basics to real agent builds
Work on projects like research agents and data analyst agents
Get mentor feedback on prompts, memory design, and tool integration
Prepare for AI, analytics, and automation job roles in San Jose
Choose flexible learning support for classroom and live online batches
Live Online
Remote Learning
AI Online Live Classes
The live online batch is designed for learners in San Jose who want the same structured training without coming to class. You attend live sessions, follow the instructor in real time, and complete the same agentic AI and generative AI exercises from home.
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 in San Jose
Students and freshers
Good for learners who want a practical start in AI, data, and automation roles.
Working professionals
Useful for developers, analysts, and testers who want to add agentic AI skills.
Career switchers
Fits non-technical learners who want a structured path into AI training in San Jose.
Data and analytics learners
Strong match for people already working with Python, SQL, or dashboards.
Anyone building projects
Best for learners who want hands-on work instead of only theory.
Quick Highlights of Inventateq Artificial Intelligence Course
Course Duration
Duration: Based on the syllabus timeline, including module-wise learning and project time.
Mode: Available as classroom and live online training.
Format: Theory, hands-on practice, assignments, and project work.
Location: Artificial intelligence course in San Jose with local support.
No prior AI experience is needed to start this course.
Artificial Intelligence Course Curriculum in San Jose
1. Foundations of Agentic AI (Week 1)
W1
•Introduction to agentic AI and how AI evolved from NLP to LLMs, chatbots, and agents
•Define agency through autonomy, goal-directed behavior, and tool use
•Understand the LLM as the brain plus perception and action layers
•Learn the ReAct pattern with reason and act steps
•Review risks such as hallucinations, cost control, and latency
2. Advanced Prompt Engineering for Agents (Week 2)
W2
•Use system prompts for role-based agent behavior
•Apply Chain-of-Thought and Tree-of-Thoughts prompting
•Create structured outputs with JSON mode and function calling
•Compare XML tagging with JSON instructions for agents
•Build a research agent that uses structured function calling to scrape a website
3. Tools and Function Calling (Week 3)
W3
•Define tools and functions with schemas
•Use parallel function calling for multi-step tasks
•Choose the right tool based on the task and context
•Handle tool failures without breaking the workflow
•Connect agent logic to outside systems through tool use
4. Memory Architectures for Agent Workflows (Week 4)
W4
•Work with short-term memory through the context window
•Use long-term memory with vector databases
•Apply semantic memory with RAG for agents
•Store episodic memory as past actions and outcomes
•Manage state correctly inside loops and long-running workflows
5. Agentic Frameworks (Week 5)
W5
•Review LangChain, LangGraph, AutoGen, and CrewAI
•Compare the strengths and limits of each framework
•Understand the shift from chains to agents to graphs
•Port a ReAct loop into LangGraph in a hands-on exercise
•Choose the right abstraction level for different AI projects
6. Planning and Complex Workflows (Week 6)
W6
•Design plan-and-execute architectures for multi-step tasks
•Use Reflexion for self-critique and iteration
•Study LLMCompiler for optimized parallel execution
•Handle dynamic workflows and compare them with DAG-based structures
•Create workflows that can adapt instead of following only static paths
7. Multi-Agent System Design (Week 7)
W7
•Understand why multi-agent systems use specialization
•Study hierarchical, peer-to-peer, and sequential handoff designs
•Set communication protocols between agents
•Work with AutoGen as conversable agents
•Use CrewAI for role-based collaboration
8. Human-in-the-Loop and Guardrails (Week 8)
W8
•Add breakpoints and interrupts for controlled execution
•Create approval workflows before destructive actions
•Use input and output guardrails with NeMo Guardrails and Guardrails AI
•Control token spend and loop iterations with budget limits
•Keep autonomous systems safe and manageable
9. Evaluation and Observability (Week 9)
W9
•Understand why evaluating agents is hard because behavior is non-deterministic
•Compare trajectory evaluation with final outcome evaluation
•Use LangSmith and Phoenix Arize as evaluation frameworks
•Trace latency, token usage, and failure points inside a graph
•Debug agent failures through observed execution paths
10. Advanced Architectures and Autonomous Patterns (Week 10)
W10
•Study BabyAGI and AutoGPT-style autonomous agent architecture
•Use code-as-action where agents write and run Python in a sandbox
•Work with multimodal agents using vision and audio inputs
•Explore web navigation agents with Playwright and Selenium
•Build a data analyst agent that reads CSV data and generates visualizations
11. Production Deployment (Week 11)
W11
•Learn streaming versus blocking responses
•Use AsyncIO for asynchronous agents
•Containerize agent sandboxes with Docker
•Scale agents horizontally for heavier workloads
•Deploy a multi-agent service with FastAPI on Render or AWS
12. Generative AI Foundations and OpenAI API (Week 12)
W12
•Introduction to generative AI
•Introduction to OpenAI and its API
•Start working with the timeline-based generative AI course sequence
•Learn how these basics support the later agentic AI modules
•Build the base for project work and deployment
13. LangChain, Hugging Face, and Memory (Week 13)
W13
•Introduction to LangChain
•Hugging Face API and LangChain applications
•Memory in LangChain
•Connect model workflow, memory, and application logic
•Use these tools in practical AI projects
14. Vector Databases and Pinecone (Week 14)
W14
•Learn vector databases for AI and LLM use cases
•Master Pinecone for AI and LLM applications
•Understand retrieval support for chatbots and agents
•Use vector storage in memory-aware systems
•Prepare the data layer needed for advanced AI apps
15. Open Source LLMs and End-to-End Projects (Week 15)
W15
•Introduce open source LLM models
•Create an end-to-end medical chatbot
•Deploy the medical chatbot in the second part of the project
•Use the buffer time for revision and project completion
•Bring together the tools, memory, and deployment topics in one final build
Rated 4.9/5
Why Inventateq for Artificial Intelligence Training in San Jose?
Inventateq keeps the training practical and aligned to the work learners are expected to do in real AI roles. The course follows a clear path from prompts and tools to memory, planning, multi-agent systems, evaluation, and deployment.
Why Students Trust Inventateq San Jose
Trainers explain each concept with project examples and tool usage
The curriculum stays close to current AI workflow and deployment needs
Supportive mentoring helps learners when they get stuck on implementation
Students get guided practice on projects, assignments, and interview prep
The learning style is direct, structured, and easy to follow for beginners and professionals
Build Practical Artificial Intelligence Skills That Open Career Options
By the end of this program, you will have worked through real AI workflows instead of only reading about them. You will know how to prompt, connect tools, manage memory, evaluate behavior, and deploy working agent-based applications.
Build Working AI Agents
Create a research agent, a data analyst agent, and multi-agent workflows using the syllabus tools and patterns.
Learn the Full Workflow
Move from prompt design to tool use, memory, planning, guardrails, and deployment in one structured path.
Use Real Tools
Practice with OpenAI API, LangChain, LangGraph, Pinecone, Hugging Face, FastAPI, Docker, and web automation tools.
Prepare for Job Projects
Turn class exercises into portfolio-ready projects you can discuss in interviews.
Understand Agent Evaluation
Learn how to trace, test, and debug agents instead of treating them like black boxes.
Apply Skills to Business Use Cases
Use the course work to support chatbot, analysis, automation, and deployment scenarios.
Certification for Artificial Intelligence Training
This certification shows that you have completed structured training in agentic AI and generative AI, along with practical project work. It helps demonstrate that you can work with the tools and workflows used in modern AI development.
OpenAI API and structured function calling
Earn this certificate upon successful completion of our training program.
LangChain, LangGraph, AutoGen, and CrewAI
Validate your skills with recognized industry credentials.
Pinecone and vector database workflows
Earn this certificate upon successful completion of our training program.
FastAPI, Docker, and deployment-ready AI projects
Validate your skills with recognized industry credentials.
Detailed Insights: Artificial Intelligence Course in San Jose
Students Frequently Asked Questions
Is this artificial intelligence course in San Jose suitable for beginners?
Yes. The syllabus starts with the evolution from NLP to LLMs, chatbots, and agents, so beginners can understand the foundation first. The later modules add tools, memory, and deployment in a gradual way.
Will I get hands-on projects in this AI training in San Jose?
Yes. The course includes a research agent, a data analyst agent, and an end-to-end medical chatbot project. You also work with deployment tasks and structured function calling.
Do you provide placement assistance after the course?
Yes. Inventateq helps with resume preparation, portfolio presentation, mock interviews, and job-role guidance. The support is aligned to AI, analytics, and automation roles.
Can non-technical students join this AI institute in San Jose?
Yes, if they are willing to learn step by step and practice regularly. The course begins with core concepts and builds into practical tools and workflows. Mentors help explain the concepts clearly during the training.
Is live online training available for students in San Jose?
Yes. You can join live online classes and learn from the same syllabus as classroom students. The online mode includes live teaching, demos, and project guidance.
How long is the course and what is the learning format?
The syllabus is structured across multiple weeks and also includes timeline-based generative AI modules and buffer time for project completion. The format combines theory, practical sessions, assignments, certification, and project work. This keeps the learning focused and job-oriented.
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