550+ Students Placed Every Month Be The Next!
Our Hiring Partners
Curriculum Designed By Experts
Expertly designed curriculum to develop practical, future-ready Gen AI skills.
Industry Oriented Curriculum
An exhaustive curriculum designed by our industry experts which will help you to get placed in your dream IT company
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30+ Case Studies & Projects
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9+ Engaging Projects
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10+ Years Of Experience
Gen AI Training Projects
Become a Gen AI Expert With Practical and Engaging Projects.
- Practice essential Tools
- Designed by Industry experts
- Get Real-world Experience
AI Chatbot Development
Develop an AI-powered chatbot to understand conversational AI concepts, prompt handling, user queries, and natural language interactions.
AI Image Generator
Create an AI-based image generation application using suitable Gen AI models to explore prompts, image creation, and creative workflows.
AI Text Summarizer
Build a text summarization application that uses Gen AI techniques to convert lengthy articles and documents into clear, concise summaries.
AI Resume Screening
Develop an AI-powered application that analyzes resumes, candidate information, and shortlists applicants based on defined job requirements.
Gen AI Blog Content Generator
Create a Generative AI tool that produces engaging blog introductions and content ideas using prompts, contextual inputs, and language generation techniques.
AI Voice-to-Text Assistant
Build a voice-to-text application that converts spoken language into accurate written content using speech recognition and AI-based transcription techniques.
Personalized AI Tutor
Develop an intelligent AI tutor that adapts to learner progress, answers questions, and generates personalized learning content for different needs.
AI Healthcare Assistant
Create an AI-based healthcare assistant that provides information based on user symptoms while promoting professional medical guidance.
Creative AI Generator
Build a Generative AI application that creates digital artwork, design concepts, or music compositions using creative prompts and AI models.
Career Support
Placement Assistance
Exclusive access to ACTE Job portal
Mock Interview Preparation
1 on 1 Career Mentoring Sessions
Career Oriented Sessions
Resume & LinkedIn Profile Building
Key Features
Practical Training
Global Certifications
Flexible Timing
Trainer Support
Study Material
Placement Support
Mock Interviews
Resume Building
Upcoming Batches
What's included
Free Aptitude and
Technical Skills Training
- Learn basic maths and logical thinking to solve problems easily.
- Understand simple coding and technical concepts step by step.
- Get ready for exams and interviews with regular practice.
Hands-On Projects
- Work on real-time projects to apply what you learn.
- Build mini apps and tools daily to enhance your coding skills.
- Gain practical experience just like in real jobs.
AI Powered Self
Interview Practice Portal
- Practice interview questions with instant AI feedback.
- Improve your answers by speaking and reviewing them.
- Build confidence with real-time mock interview sessions.
Interview Preparation
For Freshers
- Practice company-based interview questions.
- Take online assessment tests to crack interviews
- Practice confidently with real-world interview and project-based questions.
LMS Online Learning
Platform
- Explore expert trainer videos and documents to boost your learning.
- Study anytime with on-demand videos and detailed documents.
- Quickly find topics with organized learning materials.
- Learning strategies that are appropriate and tailored to your company's requirements.
- Live projects guided by instructors are a characteristic of the virtual learning environment.
- The curriculum includes of full-day lectures, practical exercises, and case studies.
Gen AI TrainingOverview
Programmer’s Potential Career Paths in Gen AI Certification Course
Gen AI offers diverse career opportunities in roles such as Generative AI Engineer, LLM Engineer, AI Product Manager, AI Solutions Architect, and Gen AI Developer. As businesses adopt generative AI for automation, content creation, customer support, and intelligent applications, skilled professionals can explore opportunities across IT, finance, healthcare, education, and creative industries. Gen AI Certification in Velachery helps learners develop practical knowledge of LLMs, prompt engineering, RAG, AI APIs, model fine-tuning, and responsible AI practices. Hands-on projects and industry-focused training help learners understand real-world Gen AI applications and prepare for emerging technology-driven career opportunities.
Requirements for a Gen AI Course in Velachery
Programming Knowledge: A basic understanding of Python, JavaScript, or similar programming languages helps learners work with AI APIs, automation workflows, and Gen AI application development. It also supports effective integration and customization of AI-powered solutions.
Mathematics & Statistics: Basic knowledge of probability, statistics, linear algebra, and mathematical concepts helps learners understand machine learning algorithms, embeddings, optimization techniques, and the factors that influence Generative AI model performance.
Machine Learning Fundamentals: Familiarity with supervised and unsupervised learning, neural networks, deep learning, and transformer architectures provides a strong foundation for LLMs. These concepts help learners explore model training, and AI application development.
Cloud & AI Tools Awareness: Basic exposure to cloud platforms and AI tools such as AWS, Microsoft Azure, Google Gemini, OpenAI, and Hugging Face helps learners understand model integration, AI APIs, deployment workflows, and practical development of Generative AI applications.
Problem-Solving Skills: Strong analytical and problem-solving abilities help learners create effective prompts, troubleshoot AI applications, evaluate model responses, optimize workflows, and develop reliable Generative AI solutions for real-world business and technical requirements.
Reasons to Consider Enrolling in Gen AI Training Institute in Velachery
Gen AI Training in Velachery helps learners develop practical skills in Generative AI, LLMs, prompt engineering, RAG, AI APIs, and automation. The training focuses on hands-on projects, real-world use cases, and industry-relevant tools to build practical expertise. Learners can explore applications across software development, marketing, finance, healthcare, education, and creative industries. The program also introduces responsible AI, data privacy, model evaluation, and ethical practices. With guided learning and project exposure, professionals and beginners can strengthen their technical knowledge and understand how Gen AI is applied to solve business problems and create intelligent digital solutions.
Techniques and Trends in Gen AI Internship Program in Velachery
Gen AI Internship Program in Velachery covers emerging techniques such as advanced prompt engineering, Retrieval-Augmented Generation (RAG), LLM fine-tuning, AI agents, multimodal AI, and Generative AI automation. Learners explore how prompts can improve model responses, while RAG connects language models with external knowledge sources for domain-specific applications. Fine-tuning helps adapt models for specialized tasks, and AI agents support automated multi-step workflows. The training also introduces text, and video, along with model evaluation, responsible AI, and security practices. These techniques help learners understand current Gen AI applications and develop practical AI-powered solutions.
The Most Recent Gen AI Tools
OpenAI: Learn to work with OpenAI models and APIs for developing conversational AI, content generation, summarization, automation, coding assistants, and intelligent applications. Gain practical knowledge of prompt design, API integration, model selection, and Generative AI workflows.
Google Gemini: Explore Google Gemini for multimodal AI applications, content generation, reasoning, coding assistance, and intelligent workflows. Learn how to use Gemini capabilities and APIs to create practical Generative AI solutions for different business and technical requirements.
Anthropic Claude: Gain practical exposure to Claude for conversational AI, document analysis, content generation, reasoning, and enterprise applications. Learn how large language models can support information processing, workflow automation, and context-aware AI solutions.
Hugging Face: Use the Hugging Face ecosystem and Transformers to explore pretrained models, natural language processing, embeddings, fine-tuning, and deployment. Learners can understand how open-source AI models are adapted and integrated into Generative AI applications.
LangChain: Learn LangChain for developing LLM-powered applications, RAG pipelines, AI agents, prompt workflows, memory management, and context-aware solutions. Gain practical knowledge of connecting language models with external data sources and application components.
Vector Databases: Work with vector databases to store, index, and retrieve embeddings efficiently for AI applications. Learn how vector search supports RAG systems, semantic search, knowledge assistants, recommendation workflows, and context-based information retrieval using data.
Career Opportunities After Gen AI Training
Generative AI Engineer
Develops and integrates generative AI models into applications using LLMs, APIs, RAG, and AI frameworks. Builds intelligent solutions for content generation, and automation.
LLM Engineer
Builds and optimizes applications powered by large language models. Works with prompt engineering, fine-tuning, RAG pipelines, model evaluation, and LLM APIs.
AI Product Manager
Plans and manages AI-powered products by connecting business goals with technical capabilities. Coordinates teams, evaluates AI, and guides product development.
Generative AI Developer
Creates AI applications using LLMs, APIs, Python, RAG, and AI development frameworks. Develops solutions for content generation, automation, and conversational systems.
AI Solutions Architect
Designs scalable AI solutions by selecting suitable models, frameworks, APIs, and cloud technologies. Plans AI architecture, integrations, deployment workflows, and security.
Responsible AI Specialist
Supports responsible development and use of generative AI by addressing bias, privacy, security, and governance. Helps organizations establish ethical AI practices and risk controls.
Skill to Master
Advanced Prompt Engineering
Large Language Models
Generative AI Fundamentals
RAG Application Development
AI Agents and Workflows
Python for Generative AI
Vector Database Management
AI Model Fine-Tuning
Multimodal AI Applications
LLM API Integration
AI Evaluation and Optimization
Responsible AI Practices
Tools to Master
OpenAI
Google Gemini
Anthropic Claude
Hugging Face
LangChain
LlamaIndex
Pinecone
TensorFlow
PyTorch
Jupyter Notebook
Gradio
Ollama
Learn from certified professionals who are currently working.
Training by
Kishore, having 6 yrs of experience
Specialized in: Generative AI, Language Models, Prompt Engineering, RAG, AI APIs, and AI Development.
Note: Kishore is an experienced Gen AI trainer who focuses on practical learning, real-world AI applications, LLM workflows, prompt optimization, and developing reliable Generative AI solutions.
Premium Training at Best Price
Affordable, Quality Training for Freshers to Launch IT Careers & Land Top Placements.
What Makes ACTE Training Different?
Feature
ACTE Technologies
Other Institutes
Affordable Fees
Competitive Pricing With Flexible Payment Options.
Higher Fees With Limited Payment Options.
Industry Experts
Well Experienced Trainer From a Relevant Field With Practical Training
Theoretical Class With Limited Practical
Updated Syllabus
Updated and Industry-relevant Course Curriculum With Hands-on Learning.
Outdated Curriculum With Limited Practical Training.
Hands-on projects
Real-world Projects With Live Case Studies and Collaboration With Companies.
Basic Projects With Limited Real-world Application.
Certification
Industry-recognized Certifications With Global Validity.
Basic Certifications With Limited Recognition.
Placement Support
Strong Placement Support With Tie-ups With Top Companies and Mock Interviews.
Basic Placement Support
Industry Partnerships
Strong Ties With Top Tech Companies for Internships and Placements
No Partnerships, Limited Opportunities
Batch Size
Small Batch Sizes for Personalized Attention.
Large Batch Sizes With Limited Individual Focus.
LMS Features
Lifetime Access Course video Materials in LMS, Online Interview Practice, upload resumes in Placement Portal.
No LMS Features or Perks.
Training Support
Dedicated Mentors, 24/7 Doubt Resolution, and Personalized Guidance.
Limited Mentor Support and No After-hours Assistance.
We are proud to have participated in more than 40,000 career transfers globally.
Gen AI Certification
Yes, Gen AI Training Course can strengthen your career prospects by developing in-demand skills in Generative AI, LLMs, prompt engineering, RAG, AI APIs, and automation. However, the course does not guarantee a job, interview performance, and current market opportunities.
Yes, candidates should have basic programming knowledge and an understanding of Gen AI fundamentals. Familiarity with cloud platforms can also help with practical learning and AI application development. Prior in ML is not mandatory but can be an advantage.
Yes, many Gen AI training and certification programs offer online exams with remote proctoring, allowing candidates to complete assessments from anywhere. Candidates generally need a stable internet connection, working camera, and suitable exam.
Yes, Gen AI Course Certification can be valuable as industries increasingly adopt Generative AI for automation, content creation, software development, and intelligent applications. It helps learners build in-demand skills, and work with modern AI tools.
Frequently Asked Questions
- The Gen AI Course covers prompt engineering, large language models, RAG, AI agents, multimodal AI, AI APIs, vector databases, Generative AI applications, and responsible AI practices. Learners gain practical knowledge through hands-on exercises, and real-world projects.
- Learn modern Gen AI tools such as OpenAI, Google Gemini, and Anthropic Claude for developing AI-powered applications.
- Gain practical knowledge of Hugging Face, LangChain, vector databases, and RAG frameworks for LLM application development.
- Practice AI API integration, intelligent automation, prompt workflows, and building real-world Generative AI solutions.
- Yes, beginners can join with basic programming knowledge and an interest in AI. The training begins with Gen AI fundamentals and gradually introduces LLMs, RAG, AI APIs, and real-world projects. Practical exercises help learners understand concepts clearly and build confidence in developing Gen AI.
- Build practical AI chatbots, text summarizers, and content generation applications.
- Work on resume screening, RAG knowledge assistants, voice assistants, and AI automation projects.
- Apply Gen AI concepts using modern tools while developing practical problem-solving and application development skills.
- Gen AI Training can help learners explore roles such as Generative AI Engineer, LLM Engineer, Gen AI Developer, AI Solutions Architect, AI Product Manager, and Responsible AI Specialist. These skills can support opportunities across software development, education, and other technology-driven industries.
