AI Enabled Engineer Training
Build practical AI and LLM applications in a four-week training program with 12 alternate-day live classes, hands-on projects, two mentor sessions, project review, and career preparation.
A practical AI and LLM development training program
This program is designed to feel like an intensive practical experience, not a passive course. Each class adds one engineering layer, from your first LLM API call to structured outputs, agents, streaming, retrieval-augmented generation, and project explanation.
- One month across four weeks
- Three alternate-day classes each week
- 12 live classes with hands-on coding and working outputs
- Two mentor sessions with experienced industry professionals
- Project review, technical discussion, and career assessment
- Resume, LinkedIn, mock interview, and feedback support
The 4-week AI training curriculum
The curriculum connects concepts to visible work. You learn, code, build, test, improve, and present across 12 classes.
Week 1: Foundations and first LLM call
- Introduction, profile review, career direction, and mentorship
- Resume creation and AI tools setup
- AI and LLM fundamentals, system role, temperature, and the first LLM API call
Week 2: Structured AI outputs
- Tokens, tokenization, context windows, usage, and cost
- JSON, Pydantic models, data validation, and structured outputs
- First AI mini-project using the concepts learned
Week 3: Agents and workflows
- Prompt engineering fundamentals, optimization, and improvement
- AI agents, agentic AI, ReAct concepts, and a basic ReAct workflow
- Prompt chaining and multi-step LLM workflows
Week 4: RAG, project review, and career assessment
- LLM streaming and development of the assigned AI project
- Retrieval-augmented generation, knowledge bases, retrieval, and a basic RAG application
- Project demo, technical discussion, final feedback, and career assessment
Mentorship and career preparation
Two mentor sessions may cover career direction, industry expectations, resume positioning, technical career guidance, interview preparation, real-world engineering experience, and project feedback.
Career preparation includes resume and LinkedIn guidance, technical discussion, mock interview practice, and feedback. Placement assistance and referral opportunities may be shared where available and based on suitability.
Completing the program does not guarantee a job, placement, interview, referral, salary, or specific hiring outcome.
Who is this AI training for?
The program is designed for students, freshers, beginners, early-career developers, and working professionals who want practical experience building with AI and LLMs.
Answers to common questions
- What is the AI Enabled Engineer Training?
- It is a four-week practical AI and LLM development training program built around alternate-day classes, hands-on projects, two mentor sessions, project review, and career preparation.
- How long is the AI training?
- The training runs for one month across four weeks, with three alternate-day live classes each week.
- How many classes are included?
- The curriculum includes 12 live classes: three alternate-day classes in each of the four weeks.
- Is the AI training project-based?
- Yes. You build a first AI mini-project during the curriculum and continue developing an assigned AI project through project review.
- What will I learn in the AI training?
- You will learn LLM fundamentals, LLM API calls, tokens and context, JSON and Pydantic structured outputs, prompt engineering, AI agents and ReAct, prompt chaining, streaming, RAG, project development, and career assessment.
- Are there mentor sessions?
- Yes. The program includes two mentor sessions with experienced professionals in corporate and technology roles.
- Is placement assistance provided?
- Placement assistance and referral opportunities may be shared where available and based on suitability. They are not a promise of employment.
- Does the training guarantee a job, placement, or salary?
- No. Completing the program does not guarantee a job, placement, interview, referral, salary, or specific hiring outcome.