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Industrial 4.0 Certification Training in Nigeria - Upskill and Lifelong Learning

Building Multi Agent Aplications with Gemini ADK

Master the art of building intelligent multi-agent applications with Google's Gemini ADK in this comprehensive, hands-on course. You will start by understanding single agent foundations — including agent lifecycle, model configuration, structured input/output, and session handling — before progressing to advanced topics such as function calling, tool execution, external API integration, and vector database-powered memory systems. This course equips you with the practical skills to design, build, and deploy AI agents that can reason, remember, and take action autonomously.

Take your AI development expertise to the next level by learning how to architect sophisticated multi-agent systems using supervisor, hierarchical, and pipeline patterns. You will explore agent-to-agent communication, shared memory, workflow orchestration, and the Model Context Protocol (MCP) for structured context passing and tool discovery. With dedicated modules on production-grade design — covering routing strategies, observability, security guardrails, and deployment at scale — you will graduate ready to build robust, enterprise-quality multi-agent applications powered by Gemini ADK.

Certificate

All participants will receive a Certificate of Completion from Tertiary Courses after achieved at least 75% attendance.

Course Code: M834

Fee

₦170,000.00

Course Date

Course Time

* Required Fields

Post-Course Support

We provide free consultation related to the subject matter after the course. Please email your queries to info@tertiarycourses.com.ng and we will forward your queries to the subject matter experts and get back to you asap.

Course Cancellation/Reschedule Policy

We reserve the right to cancel or re-schedule the course due to unforeseen circumstances. If the course is cancelled, we will refund 100% to participants.
Note the venue of the training is subject to changes due to class size and availability of the classroom.
Note the minimal class size to start a class is 3 Pax.


Course Details

Topic 1: Overview of Large Language Model (LLM)

  • What is Large Language Model?
  • Use cases of LLM applications
  • Introduction to Gemini LLM

Topic 2: Multimodal Prompting with Gemini Pro LLM

  • Introduction to Google AI Studio
  • What is Multimodal Prompting
  • Multimodal Prompting with Google API Key
  • Introduction to Vertex AI
  • Multimodal Prompting with Vertex AI

Topic 3: Building LLM Applications with Google Gemini LLM

  • Overview of Langchan Components
  • Automate Workflow with Langchain and Gemin Model
  • Create AI Agent Using Langchain and Gemini LLM Model

Topic 4: Implementing Retrieval Augmented Generation (RAG)

  • Overview of LLM driven RAG technology
  • Document Loading and Splitting
  • Embedding
  • Vector Databases
  • RAG Implementation,

Course Info

Prerequisite:

This is an intermediate course. the following knowledge is assumed

Software Requirement

Pls download and install the following software prior to the class

HRDF Funding

Please refer to this video https://youtu.be/Kzpd-V1F9Xs

1-     HRD Corp Grant Helper

How to submit grant applications for HRD Corp Claimable Courses

2-     Employers are required to apply for the grant at least one week before training commences.

Employers must submit their applications with supporting documents, including invoices/quotations, trainer profiles, training schedule and course content.

3-     First, Login to Employer’s e-TRIS account -https://etris.hrdcorp.gov.my

Second, Click Application

4-     Click Grant on the left side under Applications

5-     Click Apply Grant on the left side under Applications

6-     Click Apply

7-     Choose a Scheme Code and select HRD Corp Claimable Courses: Skim Bantuan Latihan Khas. Then, click Apply

8-     Scheme Code represents all types of training that suit the requirements provided by HRD Corp. Below are the list of schemes offered by HRD Corp:

9-     Select your Immediate Officer and click Next

10-  Select a Training Provider, then click Next

11-  Please select a training programme from the list, then key in all the required details and click Next

Select your desired training programme.

Give an explanation on why the participant is required to attend the training. E.g., related to their tasks/ career development, etc.

Explain the background and objective of this training.

Select a relevant focus area. For Employer-Specific Courses, select ‘Not Applicable’.

12-  If the training programme is a micro-credential programme, you are required to complete these 3 fields. Save and click Next

Insert MiCAS Application number

13-  Based on the nine (9) pillars listed below, HRD Corp Focus Area Courses are closely tied to support government initiatives towards nation building. As such, courses offered through the HRD Corp Focus Areas are designed to provide the workforce with skills required for current and future demands. Details of the focus areas are as follows:

14-  Please select a Course Title and Type of Training

15-  Select the correct type of training according to the actual type of training, or as mentioned in the training brochure:

16-  Please key in the Training Location and click Next

17-  Please select the Level of Certification and click Next

18-  Please follow the instructions and key in trainee details

19-  Click Add Batch, then click Save

20-  Click Add Trainee Details

21-  Please key in all the required details, then click Add

22-  Click Add if there are more participants. Once done, click Save

23-  Click Next

24-  Please key in the course fees and allowance details, then click Save

25-  Estimated cost includes the course fees/external trainer fees, allowances, and consumable training materials. Please comply with the HRD Corp Allowable Cost Matrix.

26-  Select Upfront Payment to Training Provider and key in the percentage from 0% to 30%. Then, click Save and Next

27-  Complete the declaration form and select a desired officer

28-  Add all the required documents, then click Add Attachment. Then, click Save and Submit Application

29-  Once the New Grant Application is successfully submitted, the Grant Officer will evaluate the application accordingly. The application may be queried if additional information is required.

The application status will be updated via the employer’s dashboard, email, and the e-TRiS inbox.

Job Roles

  • AI Application Developer
  • Machine Learning Engineer
  • Data Scientist
  • AI Product Manager
  • Natural Language Processing Engineer
  • AI Research Scientist
  • Software Developer (AI Specialization)
  • AI Strategy Consultant
  • AI Solutions Architect
  • Computational Linguist
  • Robotics Engineer
  • AI Algorithm Developer
  • Big Data Analyst
  • AI System Designer
  • Innovation Manager (AI Focus)
  • User Experience Designer for AI Systems
  • AI Project Coordinator
  • AI Business Development Manager
  • AI Policy Analyst
  • AI Ethicist

Trainers

Dr. Aanand: Dr. Aanand is a Full Stack Data Scientist who once had a torrid love affair with Physics. He has consulted and published in the area of Public Health, Electricity Markets, Telecom, BFSI, Advertising & Communication Strategies and Digital & Social Media Technologies. He has worked on assignments with international agencies such as International Monetary Fund, World Bank, Royal Netherland Embassy etc. besides MNCs like Tata Consultancy Services, Kie Square Consulting and several government organizations of national importance.

He regularly conducts general training programs in Python (Pandas, NumPy, SciPy, Matplotlib, Bokeh), R (dplyr, rstanarm, knitR, ggplot2), Data Visualization (Tableau, D3.js) and Machine Learnng (Reinforced Learning, Scikit Learn) and specialized training programs on Structural Equation Modeling and SAP Hana.

He holds a doctorate in Operations Research from Indian Institute of Management Ahmedabad and a post graduate in Physics from University of Mumbai. He has advanced training in mathematical programming including optimization, advanced multivariate data analysis, and simulation techniques. When he is not teaching or consulting he can be found meditating or heading for an adventurous trek.

Amir Othman: Amir Othman is a software engineer by profession. Being educated in Bauhaus Universität Weimar and Hochschule Ulm, he brings experiences from different facades of the world.

With expertise in web technology, natural language processing and machine learning, he is a freelance data scientist. Some of his works include two international news aggregator

www.kronologimalaysia.com and www.diezeitachse.de

He also holds an impressive port folio for data visualizations, primarily focusing on web based techniques.

After the realization set in that, I do not want to make it as an electronic engineer, I took the decision to go and try something new out of pure curiosity and thirst for new adventure. It didn't come quite handy but I have changed my major three times. It's not a surprise that I studied artificial intelligence and found myself all over again. I have a strong passion for machine learning and data science, fueled by the drive to learn and the endurance for growth beyond the ordinary.

Reza Adinehnia: Reza Adinehnia is an experienced Network Security Specialist with a demonstrated history of working in IT industry. He is skilled in Data mining, VMware ESX, Database Security, C, PHP, Computer networks and security. He possesses a strong information technology background with a Doctor of Philosophy (PhD) focused in Computer Security from Universiti Putra Malaysia.

Syed Muhammad Farrukh Akhtar: Syed Muhammad Farrukh Akhtar has more than 15 years of experience analysis, designing, developing, integrating and managing large applications for diverse industries. He has experience working in Dubai, Pakistan, Germany and Malaysia, strong hands-on experience of software design, development and integration on different platform like IBM J2EE, Oracle and Microsoft .Net, Big data, Hadoop, Spark, HBase, Hive, Sqoop, Flume and NoSQL. He also has expertise in Machine Learning/ Deep Learning with Tensor Flow, Keras and Python, excellent skills in React, Ionic 2, Angular 2, Mobile Apps with React Native and Node.js.

He is highly knowledgeable in object oriented software development, requirements analysis, and database design. Possess deep understanding of Open Source technologies’ applicability in emerging business areas. He possesses excellent knowledge in Rational Unified Process (RUP); Rational Software Architect; data modeling and mapping; and extensible system design using the UML and Visio. Professional experience on J2EE, JMS, Web Sphere, Oracle, Spring, Hibernate, Struts and 3-Tier Web-based Applications Development.

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